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316 Commits

Author SHA1 Message Date
Gael Guennebaud
63c58c8436 bump to 3.1.2 2012-11-05 22:22:49 +01:00
Gael Guennebaud
caf24f1c9e Disable opengl demo if Qt4 or OpenGL cannot be found. 2012-10-31 11:36:45 +01:00
Gael Guennebaud
f7b959b5fb Fix unused variable warning 2012-10-30 10:10:29 +01:00
Gael Guennebaud
ad27746b5d fix bug #524: Pardiso's parameter array does not have to be aligned!
(transplanted from b3254c9af5
)
2012-10-24 10:31:04 +02:00
Gael Guennebaud
90912315ac fix bug #521: __cpuidex is not available on all architectures supported by MSVC
(transplanted from 138897cc06
)
2012-10-24 10:21:41 +02:00
Gael Guennebaud
26e9563baf Windows CE does not provide an aligned_malloc function.
(transplanted from 9b418afff6
)
2012-10-24 10:12:42 +02:00
Gael Guennebaud
85c40128e4 Fix bug #519: AlignedBox::dim() was wrong for dynamic dimensions
(transplanted from 0753463d70
)
2012-10-24 09:58:35 +02:00
Gael Guennebaud
7b13a7fd23 fix comma initializer when inserting empty matrices
(transplanted from a67eea05c1
)
2012-10-03 21:58:14 +02:00
Gael Guennebaud
2f0307cdb5 fix dense=sparse*diagonal (there was an issue in the values returned by the .outer() function of the related iterators)
(transplanted from fec6df1f7d
)
2012-10-03 09:06:19 +02:00
Gael Guennebaud
749317561c add an assertion when inserting an already existing element 2012-10-02 23:02:23 +02:00
Gael Guennebaud
dc5b335f9f add scalar multiple to diagonal matrices 2012-09-27 09:37:05 +02:00
Gael Guennebaud
74a2a0f224 fix SparseMatrix option bit flag in eval<> helper
(transplanted from 1b004d5794
)
2012-09-27 09:22:10 +02:00
Gael Guennebaud
b0862dcb2f fix bug #515: missing explicit scalar conversion 2012-09-27 00:23:19 +02:00
Gael Guennebaud
ba013de9da fix bug #511: pretty printers on windows
(transplanted from 44374788b5
)
2012-09-26 23:48:48 +02:00
Gael Guennebaud
4ea9113efc fix bug #509: warning with gcc 4.7
(transplanted from 7c4b55fda9
)
2012-09-26 23:32:22 +02:00
Gael Guennebaud
76a2db4c74 workaround weird compilation error with MSVC
(transplanted from 48c4d48aec
)
2012-09-14 09:54:56 +02:00
Gael Guennebaud
53a0142583 fix compilation with m.array().min/max(scalar)
(transplanted from 0c584dcf4d
)
2012-09-12 17:50:07 +02:00
Benoit Jacob
733fd6e7ba Replace COPYING.LGPL by a copy of the LGPL 2.1 (instead of LGPL 3).
Indeed, all the LGPL code we use, is licensed under LGPL 2.1 (with some files being "2.1 or later").
2012-09-10 13:27:44 -04:00
Gael Guennebaud
26282498dc fix bug #501: remove aggressive mat/scalar optimization (was replaced by mat*(1/scalar) for non integer types)
(transplanted from 721671cc4e
)
2012-09-08 11:52:03 +02:00
Gael Guennebaud
f4bdc66e83 remove stupid assert in blue norm.
(transplanted from 06d2fe453d
)
2012-09-07 23:19:24 +02:00
Gael Guennebaud
16deb21376 forward resize() function from Array/Matrix-Wrapper to the nested expression such that mat.array().resize(a,b) is now allowed.
(transplanted from 9da41cc527
)
2012-08-30 16:28:53 +02:00
Gael Guennebaud
221f54698c Fix out-of-range memory access in GEMV (the memory was not used for the computation, only to assemble unaligned packets from aligned packet loads) 2012-08-30 10:52:15 +02:00
Gael Guennebaud
2858b6d2d6 fix bug #499: the image was missing because of a dependency issue when building/executing the "special" examples
(transplanted from 75435079ca
)
2012-08-27 11:11:25 +02:00
Gael Guennebaud
e589e3f0b6 simplify eigen-doc.tgz file generation, and make it more future proof
(transplanted from aa1aa36d6d
)
2012-08-27 10:56:44 +02:00
Gael Guennebaud
66e7d02533 remove EXTRACT_ALL
(transplanted from 904c2e6cfb
)
2012-08-27 10:30:10 +02:00
Thomas Capricelli
5cde86fce8 add piwik code to documentation (web stats engine) 2012-08-21 22:39:47 +02:00
Thomas Capricelli
d0cb2b78d3 documentation script : the 3.1 branch is currently 'dox', not 'dox-devel' 2012-08-21 20:42:09 +02:00
jdh8
c0da31309d merge 2012-08-18 21:10:42 +08:00
Jitse Niesen
66c3343238 Undo incorrect fix in previous commit, and fix real mistake instead.
(transplanted from dee866a99a
)
2012-08-17 15:36:37 +01:00
Jitse Niesen
0c078ca80a Documentation fixes. Thanks to Rodney Sparapani for reporting these.
(transplanted from 5eefca637e
)
2012-08-17 14:49:18 +01:00
jdh8
87e4b10747 merge 2012-08-08 17:47:59 +08:00
Gael Guennebaud
e2886d34ef Fix precision regression when attempting to fix underflow issues.
(transplanted from af824091be
)
2012-08-05 09:57:31 +02:00
jdh8
246d12dcab Fix some typos in MatrixLogarithm to improve accuracy. 2012-08-03 23:39:15 +08:00
Desire NUENTSA
1914024965 bug #493 : multiple calls to FindUmfPack 2012-08-02 10:00:23 +02:00
Gael Guennebaud
a03c970c5c fix various regressions with MKL support
(transplanted from 8ab0e16e27
)
2012-07-28 16:32:43 +02:00
Gael Guennebaud
9f945b6028 SparseMatrix: add missing ctor for ReturnByValue
(transplanted from 7518201de8
)
2012-07-25 23:03:10 +02:00
Gael Guennebaud
4691a4e4b5 Fix aliasing issue in sparse matrix assignment.
(m=-m; or m=m.transpose(); with m sparse work again)
(transplanted from e75b1eb883
)
2012-07-25 09:33:50 +02:00
Jitse Niesen
e546ee315a Use EISPACK's strategy re max number of iters in Schur decomposition (bug #479). 2012-07-22 22:03:23 +01:00
Benoit Jacob
a63c4da68e Added tag 3.1.1 for changeset 22415b3dbb 2012-07-22 10:18:18 -04:00
Benoit Jacob
22415b3dbb bump version number 2012-07-22 10:17:54 -04:00
Desire NUENTSA
b4065b5598 bug #479 : Adjust max iterations count wrt matrix size 2012-07-16 11:31:59 +02:00
Benoit Jacob
7273feee92 add COPYING.MINPACK 2012-07-15 11:46:22 -04:00
Benoit Jacob
3a0c40de29 MINPACK license is OK for MPL2 after all 2012-07-15 10:30:57 -04:00
Benoit Jacob
d1765d98a9 add COPYING.README 2012-07-15 10:29:09 -04:00
Benoit Jacob
de23f2a27e add COPYING.MPL2 2012-07-15 10:20:59 -04:00
Benoit Jacob
48ea53288d remove outdated "Eigen itself is part of the KDE project" outside of eigen2 files 2012-07-15 10:17:45 -04:00
Gael Guennebaud
b2d857af3e document EIGEN_MPL2_ONLY
(transplanted from 54559094ec
)
2012-07-14 09:56:03 +02:00
Gael Guennebaud
98f16a6ee7 fix bug #485: conflict between a typedef and template type parameter
(transplanted from 46b1c7a0ce
)
2012-07-13 20:54:38 +02:00
Benoit Jacob
0de22418e1 Add a EIGEN_MPL2_ONLY build option to generate compiler errors when including non-MPL2 modules 2012-07-13 14:42:47 -04:00
Benoit Jacob
6072cac80e Manual MPL2 relicensing fixes 2012-07-13 14:42:47 -04:00
Benoit Jacob
132eb28e9c Automatic relicensing to MPL2 using Keirs script. Manual fixup follows. 2012-07-13 14:42:47 -04:00
Keir Mierle
0bec280dd1 Add preliminary script to relicense Eigen to MPL2. 2012-07-11 11:29:52 -07:00
Gael Guennebaud
bff29c0af9 fix computation of fixed size sub/super diagonal size
(transplanted from 3e6329a0d9
)
2012-07-10 22:39:05 +02:00
Gael Guennebaud
a1f7a87e1e Fix possible underflow issues in SelfAdjointEigenSolver
(transplanted from a2c3003be2
)
2012-07-10 09:51:26 +02:00
Gael Guennebaud
689d64156c fix compilation with MSVC 2012-07-05 21:58:01 +02:00
Gael Guennebaud
95e3e4f865 Fix bug #480: workaround the Android NDK defining isfinite as a macro
(transplanted from 5dbdde0420
)
2012-07-05 17:22:25 +02:00
Jitse Niesen
32e83f6000 doc: Typo in CustomizingEigen, introduced in previous commit.
Thanks to Christoph Hertzberg for noting this.
(transplanted from 60edf02f6f
)
2012-07-05 13:56:28 +01:00
Jitse Niesen
4a7609fa74 doc: Add constructor to example for inheritance.
See "Error in Inheriting Eigen::Vector3d" on forum.
(transplanted from b582b2ebdc
)
2012-07-05 13:36:02 +01:00
Gael Guennebaud
dee3325ef5 fix bug #486: template speacialization of member functions must be declared inline to avoid duplicate references
(transplanted from 0a7ce6ad69
)
2012-07-05 13:32:23 +02:00
Gael Guennebaud
2c88252599 fix bug #487: isometry * scaling was not compiling 2012-07-04 18:25:07 +02:00
Gael Guennebaud
7027b5a8f9 workaround compilation issue with MSVC 2005
(transplanted from eee34f2da4
)
2012-07-02 10:20:44 +02:00
Gael Guennebaud
2d45ad75ea fix implicit scalar conversion
(transplanted from 139c91bf30
)
2012-06-28 13:12:49 +02:00
Gael Guennebaud
4328afc1a5 remove dynamic allocation for fixed size object and triangular matrix-matrix products
(transplanted from 57b5804974
)
2012-06-26 17:45:01 +02:00
Gael Guennebaud
086e0aae51 Added tag 3.1.0 for changeset dd3cd5455e 2012-06-24 11:29:15 +02:00
Gael Guennebaud
dd3cd5455e fix GMRES
(transplanted from e46fc8c05c
)
2012-06-23 19:29:21 +02:00
Gael Guennebaud
9c2cc0b243 create 3.1 branch and bump to 3.1.0 2012-06-22 09:26:23 +02:00
Gael Guennebaud
b737850d38 Added tag 3.1.0-rc2 for changeset dd86165c13 2012-06-21 22:00:32 +02:00
Gael Guennebaud
dd86165c13 bump to 3.1.0-rc2 2012-06-21 22:00:13 +02:00
Gael Guennebaud
110cf8bbf5 fix compilation issue with MKL's backend 2012-06-21 17:03:15 +02:00
Gael Guennebaud
d428b620aa add the multithreading topic in the topic list 2012-06-21 10:54:16 +02:00
Gael Guennebaud
eb626877d7 fix sparse benchmark help 2012-06-21 10:53:36 +02:00
Gael Guennebaud
6f3057f624 extend documentation of *Support modules 2012-06-21 10:51:22 +02:00
Gael Guennebaud
5b5f3ecafa MPreal: extended unit test, remove useless internal overloads, add support for internal::cast (needed for printing) 2012-06-21 10:02:32 +02:00
Gael Guennebaud
7380592bc2 patch mpfr c++ copy to fix warnings and min/max issues 2012-06-21 09:59:44 +02:00
Gael Guennebaud
b5093e2585 update internal mpfr C++ copy 2012-06-21 09:56:54 +02:00
Jitse Niesen
8c71d7314b Fix some typos in sparse tutorial. 2012-06-20 09:52:45 +01:00
Gael Guennebaud
b96b429aa2 fix bug #478: RealSchur failed on a zero matrix. 2012-06-20 10:08:32 +02:00
Gael Guennebaud
c8346abcdd fix bug #477: warning with gcc 4.7 2012-06-20 09:54:52 +02:00
Gael Guennebaud
52dce0c126 significantly extend the tutorial of sparse matrices 2012-06-20 09:28:32 +02:00
Gael Guennebaud
882912b85f comment two tests in nomalloc (there is no regression here, it's just I've been too optimistic when adding them recently) 2012-06-20 08:58:26 +02:00
Gael Guennebaud
1727373706 fix geometry tutorial about scalings. 2012-06-18 22:07:13 +02:00
Gael Guennebaud
47a77d3e38 update custom scalar type doc 2012-06-18 21:49:55 +02:00
Gael Guennebaud
791e28f25d update adolc support wrt "new" NumTraits mechanism 2012-06-18 21:32:56 +02:00
Jitse Niesen
148587e229 Update custom scalar example, based on unstable/Eigen/AdolcForward . 2012-06-16 20:35:59 +01:00
Gael Guennebaud
3c9289129b prevent the allocation of the two preconditioner, only one is needed 2012-06-15 23:22:34 +02:00
Gael Guennebaud
aa3daad883 fix a warning and formatting 2012-06-15 09:16:10 +02:00
Gael Guennebaud
3fd2beebc8 Matrix-Market: fix perf issue and infinite loop 2012-06-15 09:07:13 +02:00
Gael Guennebaud
c858fb353f fix a few warnings 2012-06-15 09:06:32 +02:00
Gael Guennebaud
37d367a231 fix typo in unsupported/NumericalDiff 2012-06-15 07:56:55 +02:00
Gael Guennebaud
12e9f3b0fc Added tag 3.1.0-rc1 for changeset 4ca5735de4 2012-06-14 21:26:11 +02:00
Gael Guennebaud
4ca5735de4 bump to 3.1.0-rc1 2012-06-14 21:25:50 +02:00
Gael Guennebaud
b9f25ee656 bug #466: better fix for the race condition: this new patch add an initParallel()
function which must be called at the initialization time of any multi-threaded
application calling Eigen from multiple threads.
2012-06-14 14:24:15 +02:00
Gael Guennebaud
a3e700db72 fix bug #475: .exp() now returns +inf when overflow occurs (SSE) 2012-06-14 10:38:39 +02:00
Gael Guennebaud
324ecf153b disable the MKL's vm*powx functions on windows 2012-06-14 09:49:57 +02:00
Gael Guennebaud
9c7b62415a simplify and clean a bit the Pastix support module 2012-06-12 16:47:14 +02:00
Gael Guennebaud
4e8523b835 update blas interface for trsm 2012-06-12 14:33:03 +02:00
Gael Guennebaud
88e051019b extend nomalloc unit test to test the solve calls 2012-06-12 13:12:47 +02:00
Gael Guennebaud
cd48254a87 fix inclusion order 2012-06-12 11:40:33 +02:00
Gael Guennebaud
924c7a9300 avoid dynamic allocation for fixed size triangular solving 2012-06-12 11:33:50 +02:00
Gael Guennebaud
bc580bbffb fix typo 2012-06-11 18:49:30 +02:00
Gael Guennebaud
f2849fac20 Fix bug #466: race condition destected by helgrind in manage_caching_sizes.
After all, the solution based on threadprivate is not that costly.
2012-06-08 17:29:02 +02:00
Gael Guennebaud
28d0a8580e workaround ICC 11.1 compilation issue 2012-06-08 14:13:28 +02:00
Gael Guennebaud
7e36d32b32 fix ambiguous calls in the functors by prefixing function calls with internal:: 2012-06-08 09:53:50 +02:00
Gael Guennebaud
5cec86cb1e BTL: add missing TRMM plots, update Eigen's interface 2012-06-07 18:35:38 +02:00
Gael Guennebaud
512e0b151b clean the support for testing existing sparse problems 2012-06-07 18:31:09 +02:00
Gael Guennebaud
83c932ed15 fix a warning 2012-06-07 18:22:13 +02:00
Gael Guennebaud
1e5e66b642 For consistency, Simplicial* now factorizes P A P^-1 (instead of P^-1 A P).
Document how is applied the permutation in Simplicial* .
2012-06-07 16:24:46 +02:00
Gael Guennebaud
63c6ab3e42 fix documentaion of twistedBy 2012-06-07 16:18:00 +02:00
Gael Guennebaud
c1edb7fd95 Added tag 3.1.0-beta1 for changeset b7a7285909 2012-06-06 22:34:08 +02:00
Gael Guennebaud
b7a7285909 bump to beta1 2012-06-06 22:33:39 +02:00
Gael Guennebaud
5a697e495c fix installation path 2012-06-06 22:32:44 +02:00
Gael Guennebaud
05af70a958 make sure we do not solve with a null right hand side 2012-06-06 17:11:50 +02:00
Gael Guennebaud
fd32697074 Fix stopping criteria of CG 2012-06-06 17:11:16 +02:00
Gael Guennebaud
b9f0eabd93 discourage users to user developer preprocessor directives 2012-06-06 15:36:08 +02:00
Gael Guennebaud
84d20720b2 fix umfpack for row-major 2012-06-06 09:44:53 +02:00
Gael Guennebaud
9d2b6dd71a test block objects for sparse solving 2012-06-06 09:40:01 +02:00
Gael Guennebaud
c58b759865 Fix bug #454: allow Block/Map objects for solving with SuperLU 2012-06-06 09:37:59 +02:00
williami
fc5f21903b Fixed RVCT 3.1 compiler errors. 2012-06-04 10:21:16 -05:00
Gael Guennebaud
cb64e587c5 Fix kdBVH unit test 2012-06-04 22:01:06 +02:00
Gael Guennebaud
945179b26c CholmodDecomposition now has explicit variants. These variants will allow to provide access to the underlying factors. 2012-06-04 13:24:41 +02:00
Gael Guennebaud
5f5a4d4546 make Simplicial* non-copyable, and fix return type of Simplicial*::compute() 2012-06-04 13:22:44 +02:00
Gael Guennebaud
a2ae063491 add a noncopyable base class for decompositions 2012-06-04 13:21:15 +02:00
Gael Guennebaud
1b20e16546 extend umfpack support 2012-06-04 10:39:57 +02:00
Gael Guennebaud
b509cf0742 Fix bug #468: generalize UmfPack support to accept any input at the cost of an implicit copy. 2012-06-01 16:31:36 +02:00
Gael Guennebaud
7f63169f09 SimplicialCholesky: avoid multiple twisting of the same matrix when calling compute() 2012-06-01 15:51:03 +02:00
kmargar
97cdf6ce9e ARM NEON supports multiply-accumulate instruction vmla, use that in pmadd(). 2012-05-28 14:55:23 +03:00
Desire NUENTSA
b202c5ed2f The sparse quick reference guide is not ready 2012-05-25 18:02:38 +02:00
Desire NUENTSA
1b9097644d Add common options to the benchmark interface 2012-05-25 17:58:43 +02:00
Desire NUENTSA
5cbe6a5fbf Read header of Hermitian matrices 2012-05-25 17:53:37 +02:00
Desire NUENTSA
2fecd818c4 Add a preliminary reference guide on sparse interface 2012-05-25 17:52:11 +02:00
Gael Guennebaud
695a7ab9d7 protect min/max with parenthesis 2012-05-15 08:18:39 +02:00
Jitse Niesen
b5f70814c1 Warn users against dangerous macros.
Also, mark EIGEN_DEFAULT_TO_ROW_MAJOR as internal (see also bug #422).
2012-05-13 21:42:45 +01:00
Gael Guennebaud
ce2e2fe336 bug #455: add support for c++11 in aligned_allocator 2012-05-03 11:55:30 +02:00
Jitse Niesen
823c44e4e5 merge 2012-05-02 17:21:29 +01:00
Philip Avery
cb3b1bb73e AutoDiffScalar: fix bug with operator/, add missing functions 2012-05-02 17:17:12 +02:00
clusty
d062a8bd31 Got rid of a warning message by doing an explicit cast 2012-05-02 10:50:44 -04:00
Gael Guennebaud
8f47246475 fix lmdif1 with Scalar!=double 2012-05-01 14:46:02 +02:00
Jitse Niesen
65fb0d43ff Define NoChange as enum constant (bug #450).
This gets rid of some warnings on Intel Composer XE, apparently.
2012-04-29 15:37:44 +01:00
Gael Guennebaud
1741dbce1a fix more warnings in MKL support 2012-04-18 18:36:25 +02:00
Jitse Niesen
57b5767fe2 Fix infinite recursion in ProductBase::coeff() (bug #447)
Triggered by product of dynamic-size 1 x n and n x 1 matrices.
Also, add regression test.
2012-04-18 15:23:28 +01:00
Gael Guennebaud
5cab18976b cleaning pass: rm unused variables in MKL stuff, fix a few namespace issues, MarketIO needs iostream 2012-04-18 10:09:46 +02:00
Gael Guennebaud
1198ca0284 remove debug output 2012-04-17 08:38:42 +02:00
Jitse Niesen
5d56f9f763 Remove unused file EigenvaluesCommon.h 2012-04-16 13:47:48 +01:00
Jitse Niesen
3c412183b2 Get rid of include directives inside namespace blocks (bug #339). 2012-04-15 11:06:28 +01:00
Hauke Heibel
84c93b048e Added spline interpolation with pre-defined knot parameters. 2012-04-13 12:50:05 +02:00
Gael Guennebaud
f6a5508392 remove an extra ';' and suppress a 'variable used before its value is set' warning 2012-04-11 09:49:52 +02:00
Gael Guennebaud
a3ddb14426 remove use of GSL in polynomialsolver unit test 2012-04-11 09:48:01 +02:00
Gael Guennebaud
51410975ac suppress extra ',' and ';' 2012-04-10 17:32:21 +02:00
Gael Guennebaud
b0cf95619e fix compilation of "somedensematrix.llt().matrixL().transpose()" (missing constness on the return types) 2012-04-10 15:40:36 +02:00
Gael Guennebaud
311c5b87a3 Replicate now makes use of the cost model to evaluate its nested expression 2012-04-06 00:22:13 +02:00
Thomas Capricelli
3018e80c59 uniformize eigen_gen_docs between branches / cleaning 2012-04-03 14:24:20 +02:00
Gael Guennebaud
a060e0b486 does not include MatrixMaketIterator on win32,
no "using whatever" in global scope in a header file
2012-03-31 18:01:43 +02:00
Gael Guennebaud
daaeddd581 rm unused gsl_helper file 2012-03-31 17:37:46 +02:00
Gael Guennebaud
48f0bbb586 fix bug #362 and add missing specialization for affine-compact * projective 2012-03-30 23:22:29 +02:00
Gael Guennebaud
63ea667ed7 fix compilation with ICC 2012-03-30 11:22:23 +02:00
Desire NUENTSA
5dbb646190 Add private copy constructors to sparse solvers backends 2012-03-29 19:19:12 +02:00
Desire NUENTSA
2d35f88bcf Cholmod does not compute a determinant 2012-03-29 19:07:13 +02:00
Desire NUENTSA
22cd65ee33 Adding a householder-GMRES implementation from Kolja Brix 2012-03-29 15:00:55 +02:00
Desire NUENTSA
f776c061a1 Correct a small bug in sparse_solver 2012-03-29 14:53:42 +02:00
Desire NUENTSA
f804a319c8 modify the unit tests of sparse linear solvers to enable tests on real matrices, from MatrixMarket for instance 2012-03-29 14:32:54 +02:00
Desire NUENTSA
ada9e79145 add a benchmark routine for all sparse linear solvers in Eigen 2012-03-29 14:29:55 +02:00
Gael Guennebaud
caecaf9c9e add missing forward declaration 2012-03-29 13:45:01 +02:00
Gael Guennebaud
c172abdcc7 add sparse * permutation products with assiciated unit tests 2012-03-29 11:29:43 +02:00
Gael Guennebaud
8ff882aa4c add sparse-selfadjoint to sparse-selfadjoint assignment operators
(no need to use .twistedBy(I) anymore)
2012-03-29 11:28:43 +02:00
Gael Guennebaud
fd2f399c18 fix bug #439: add Quaternion::FromTwoVectors() static constructor 2012-03-26 18:30:04 +02:00
Gael Guennebaud
6c3b8b2ebc we have a new server for hosting CDash reports. 2012-03-22 19:15:47 +01:00
Desire NUENTSA
afeddd80ab Algorithm to equilibrate rows and columns of a square matrix 2012-03-22 16:18:34 +01:00
Desire NUENTSA
0d52b965c8 Add simple API to set Pastix parameters 2012-03-22 15:54:52 +01:00
Desire NUENTSA
f6cd3389a2 compress loaded market matrix 2012-03-22 15:53:25 +01:00
Gael Guennebaud
daad446d5d workaround stupid gcc 4.7 warning 2012-03-22 00:01:03 +01:00
Gael Guennebaud
f0a1652113 s/__SSE3__/EIGEN_VECTORIZE_SSE3 2012-03-21 23:50:43 +01:00
Gael Guennebaud
b0fd94aa85 improve FindFFTW cmake module 2012-03-15 15:18:22 +01:00
Kolja Brix
30dee7d235 Add some documentation to existing methods in the Householder module. 2012-03-08 12:42:10 +01:00
Gael Guennebaud
77b05d5b7d remove parenthesis suggestion warning 2012-03-14 17:38:21 +01:00
Gael Guennebaud
60daf70a20 add 2 missing ReverseInnerIterators 2012-03-14 17:37:28 +01:00
Hauke Heibel
dd9365e089 Fixed division by zero corner case in array unit test. 2012-03-09 14:04:13 +01:00
Gael Guennebaud
d7da6f63a8 declare Block::m_outerStride as Index (instead of int) 2012-03-09 13:54:22 +01:00
Gael Guennebaud
728ca6ad9c export IsRowMajor in MappedSparseMatrix 2012-03-09 13:52:35 +01:00
Gael Guennebaud
9b1ad5e5bd rm cC++11 features 2012-03-09 12:08:06 +01:00
Gael Guennebaud
fe9b7c2564 typo in variable name not revealed by ICC 2012-03-08 21:45:00 +01:00
Gael Guennebaud
48a3e0ed55 fix conversion warning 2012-03-08 21:31:49 +01:00
Desire NUENTSA
0d8466d317 Adding an interface to PaStiX, the multithreaded and distributed linear solver 2012-03-08 18:59:08 +01:00
Desire NUENTSA
37d2efd4f6 Adding support to read and write complex matrices in Matrix Market format 2012-03-08 18:45:47 +01:00
Hauke Heibel
c08521ea6b Improved the unit tests for setLinSpaced.
Provide a default constructed step size as opposed to an int when the size is 1.
2012-03-07 16:18:35 +01:00
Hauke Heibel
ef022da28e Fixed setLinSpaced for size==1. 2012-03-07 15:34:39 +01:00
Hauke Heibel
81c1336ab8 Added support for component-wise pow (equivalent to Matlab's operator .^). 2012-03-07 08:58:42 +01:00
Hauke Heibel
aee0db2e2c Moved the operator/(Scalar,ArrayBase) into the Eigen namespace. 2012-03-02 16:58:12 +01:00
Hauke Heibel
8cb3e36e14 Added support for scalar / array division. 2012-03-02 16:27:27 +01:00
Hauke Heibel
8a7d16d523 Replicate ctor now uses Index instead of int. 2012-03-02 16:27:08 +01:00
Gael Guennebaud
553a0ae924 simplify and speedup sparse * dense matrix products 2012-03-01 10:13:13 +01:00
Desire NUENTSA
85b358097d allow null elements in sparse assignments 2012-02-29 15:51:23 +01:00
Gael Guennebaud
fc85f91df0 fix MKL interface with LLT::rankUpdate 2012-02-28 16:19:40 +01:00
Gael Guennebaud
309b27b545 update unit test for Simplicial-Cholesky 2012-02-28 14:21:54 +01:00
Gael Guennebaud
0d3d46573e fix assertion condition 2012-02-27 19:04:34 +01:00
Gael Guennebaud
5effdba2c6 SimplicialCholesky*: s/LLt/LLT and s/LDLt/LDLT for consistency with dense names 2012-02-27 14:28:07 +01:00
Gael Guennebaud
ece30e9e6f fix a couple of warnings 2012-02-27 14:27:12 +01:00
Gael Guennebaud
eb168ef8ed add analyzePattern/factorize API to iterative solvers and basic preconditioners 2012-02-27 14:10:26 +01:00
Gael Guennebaud
122f28626c fix and clean Pardiso solver and s/PARDISOSupport/PardisoSupport 2012-02-27 13:23:21 +01:00
Gael Guennebaud
b240a3fad9 add unit tests for analyzePatter/factorize API 2012-02-27 13:22:38 +01:00
Gael Guennebaud
bc8188f6a1 fix symmetric permuatation for mixed storage orders 2012-02-27 13:21:41 +01:00
Gael Guennebaud
128ff9cf07 declare a ReverseInnerIterator in sparse CwiseBinaryOp. These ReverseInnerIterator should probably be removed anyway since we currently don't have real use cases for them. The only one in TriangularSolver could be advantageously replaced by a binary search. 2012-02-23 11:38:18 +01:00
Christoph Hertzberg
1edfa64f44 bug #419: Add spaces between adjacent > in template arguments 2012-02-15 14:14:29 +01:00
Gael Guennebaud
eff167d2c8 SSOR is not there yet 2012-02-19 16:01:13 +01:00
Gael Guennebaud
4cc6d7aa62 clean a bit the ILUT code 2012-02-14 22:07:19 +01:00
Rhys Ulerich
ef448da57b add Eigen::Array support to GDB pretty printers 2012-02-11 20:50:21 -06:00
Gael Guennebaud
7de3478027 <complex> must be included first 2012-02-10 22:49:09 +01:00
Gael Guennebaud
ef7f1371b2 some cleaning and add copyrights 2012-02-10 19:38:31 +01:00
Desire NUENTSA
16da7299dd Add test in BiCGSTAB for ILUT 2012-02-10 18:57:38 +01:00
Desire NUENTSA
edbebb14de Split the computation of the ILUT into two steps 2012-02-10 18:57:01 +01:00
Desire NUENTSA
a815d962da Add the implementation of the Incomplete LU preconditioner with dual threshold (ILUT)
Modify the BiCGSTAB function to check the residual norm of the initial guess
2012-02-10 10:59:39 +01:00
Desire NUENTSA
9ed6a267a3 Modify the LinSpaced function to take only the two bounds 2012-02-10 10:21:11 +01:00
Desire NUENTSA
2ea98594c4 Modify the symmetric permutation to deal with nonsymmetric matrices 2012-02-10 10:18:38 +01:00
Gael Guennebaud
70284b7eff suppress generation of TEMPLATE_RELATIONS: they are useful but take much too much space 2012-02-09 21:42:58 +01:00
Gael Guennebaud
8dd3ae282d fix bug #417: Map should be nested by value, not by reference 2012-02-09 15:25:42 +01:00
Tim Holy
44b19b432c Add a tutorial page on the Map class, and add a section to FunctionsTakingEigenTypes about multiple-argument functions and the pitfalls when using Map/Expression types. 2012-02-08 22:11:12 +01:00
Gael Guennebaud
5bb34fd14c fix bug #415: wrong return in Rotation2D::operator*= 2012-02-08 21:50:51 +01:00
Desire NUENTSA
a1c7b5aa48 Adding support for twistedby on SparseMatrixBase 2012-02-08 18:22:48 +01:00
Gael Guennebaud
3836402631 Improve performance of some Transform<> operations by better preserving the alignment status.
There probably many other places in Transform.h where such optimizations could be done.
2012-02-07 17:12:15 +01:00
Gael Guennebaud
ff67676c0b Added tag 3.1.0-alpha2 for changeset fe0350cf1b 2012-02-06 16:39:51 +01:00
Gael Guennebaud
fe0350cf1b bump 2012-02-06 16:39:26 +01:00
Gael Guennebaud
99c694623a fix a dozen of warnings with MSVC, and get rid of some useless throw() 2012-02-06 15:57:51 +01:00
Gael Guennebaud
6ad48c5d92 fix conjugation in packet_lhs 2012-02-05 18:18:38 +01:00
Gael Guennebaud
4ed87c59c7 Update the PARDISO interface to match other sparse solvers.
- Add support for Upper or Lower inputs.
- Add supports for sparse RHS
- Remove transposed cases, remove ordering method interface
- Add full access to PARDISO parameters
2012-02-04 14:20:56 +01:00
Gael Guennebaud
1763f86364 add the recent setFromTriplets() feature in the manual 2012-02-04 10:44:07 +01:00
Gael Guennebaud
fe85b7ebc6 fix several const qualifier issues: double ones, meaningless ones, some missing ones, etc.
(note that const qualifiers are set by internall::nested)
2012-02-03 23:18:26 +01:00
Gael Guennebaud
bc7b251cd9 fix compilation errors with ICC 2012-02-03 23:16:52 +01:00
Gael Guennebaud
a594d7ffd7 stop disabling this legitimate warning, recall that in the following the const on FooRef is really meaningless:
typedef Foo& FooRef;
const FooRef foo;
2012-02-03 23:16:11 +01:00
Gael Guennebaud
ad4aa7873f remove unused variables 2012-02-03 13:30:48 +01:00
Gael Guennebaud
fd4aefadcd fix ctest -D Foo with MSVC 2008 2012-02-03 10:50:49 +01:00
Zuiquan
a64407f086 Enable Eigen to compile on 'pure C/C++' Gcc environment (with no inline assembly or asm directive). Required if we want to use Eigen with Adobe Alchemy. 2012-02-02 12:05:02 +01:00
Gael Guennebaud
13abb37721 shutup floating point underflow warning for this specific unit test 2012-01-31 23:18:17 +01:00
Gael Guennebaud
7002639844 the default ctor had no sense because of the const reference member 2012-01-31 23:12:04 +01:00
Gael Guennebaud
13e46ad847 add missing return *this 2012-01-31 23:11:13 +01:00
Gael Guennebaud
9a954d29ec rm non standard and useless overloads of is_arithmetic for long long 2012-01-31 21:45:03 +01:00
Gael Guennebaud
634fedaf68 proper C++ casting 2012-01-31 18:56:25 +01:00
Gael Guennebaud
10cd52350f fix a few warnings: change of sign and missing return statement 2012-01-31 13:05:44 +01:00
Gael Guennebaud
9c86ee2695 fix static inline versus inline static issues (the former is the correct order) 2012-01-31 12:58:52 +01:00
Gael Guennebaud
8d6e394b06 workaround "empty macro argument" warning 2012-01-31 12:46:14 +01:00
Gael Guennebaud
670e3af5a8 add .data() member to Diagonal<> 2012-01-31 12:44:59 +01:00
Gael Guennebaud
18e3ac0f0d fix some compilation errors with ICC and -strict-ansi 2012-01-31 09:14:01 +01:00
Gael Guennebaud
87138075da add the possibility to assemble a SparseMatrix object from a random list of triplets that may contain duplicated elements. It works in linear time, with O(1) re-allocations. 2012-01-28 11:13:59 +01:00
Gael Guennebaud
fc2d85d139 fix memory leak in SuperLUSupport 2012-01-27 10:07:09 +01:00
Gael Guennebaud
27d222d23e honor nested types in dense * sparse 2012-01-27 09:39:36 +01:00
Jitse Niesen
ed244e9c1a Document that JacobiSVD also handles complex matrices.
Thanks to 'Jazzdude' for noting this on IRC.
2012-01-26 13:16:50 +00:00
Gael Guennebaud
0251bb6c1d add missing inline keyword (linking issue) 2012-01-26 10:53:42 +01:00
Gael Guennebaud
65d5311c68 SimplicialCholesky: the shift offset must be real, and fix a comparison issue for complexes 2012-01-26 10:34:45 +01:00
Gael Guennebaud
d9f5840f7a simple compilation fix 2012-01-26 08:52:20 +01:00
Gael Guennebaud
a108216af1 fix bug #410: fix a possible out of range access in EigenSolver 2012-01-25 19:02:31 +01:00
Christoph Hertzberg
362fcabc44 Check for positive definiteness in SimplicialLLT 2012-01-14 22:34:18 +01:00
Gael Guennebaud
5e4dfa4a09 fix a nesting type issue in Sparse/TriangularView 2012-01-25 18:16:48 +01:00
Gael Guennebaud
606e204f6d fix bug #406: Using OpenMP and Eigen causes infinite loop/deadlock
(transplanted from fd52daae87
)
2012-01-25 17:42:22 +01:00
Gael Guennebaud
c68616b3b5 fix warning with gcc 4.6 2012-01-25 15:48:50 +01:00
Gael Guennebaud
87f2af5930 workaround ICC compilation error with -strict-ansi 2012-01-25 15:45:01 +01:00
Gael Guennebaud
d615d39af0 determine windows version from major.minor only, the patch number is irrelevant. 2012-01-23 21:56:46 +01:00
Gael Guennebaud
0d03492e1e std::isfinite is non standard 2012-01-23 21:49:00 +01:00
Gael Guennebaud
ee9f3e34b0 LLT: improve rankUpdate to support downdates,
LDLT: add the missing info() function,
improve unit testing of rankUpdate()
2012-01-23 17:28:23 +01:00
Abraham Bachrach
039408cd66 added functions to allow for cwise min/max operations with scalar argument (bug #400).
added function for array.min(), array.max(), matrix.cwiseMin(), matrix.cwiseMax().

The matrix.cwiseMin/Max functions required the definition of the ConstantReturnType typedef.
However, it wasn't defined until after MatrixCwiseBinaryOps was included in Eigen/src/SparseCore/SparseMatrixBase.h,
so I moved those includes after the definition of the typedefs.

tests for both the regular and scalar min/max functions were added as well
2012-01-11 11:00:30 -05:00
Gael Guennebaud
238999045c optimize the packing of lhs blocks for matrix-matrix products => significant speedup for small products 2012-01-21 19:34:28 +01:00
Jitse Niesen
0e1e0a2a58 Make sure that now-fixed assert is not triggered. 2012-01-19 14:30:44 +00:00
Keir Mierle
274f8a0947 Fix broken asserts releaved by Clang. 2012-01-18 15:03:27 -08:00
Gael Guennebaud
589cc627f8 fixe one more VC10 ICE 2012-01-18 17:45:22 +01:00
Gael Guennebaud
db8f528737 fix VC10 ICE 2012-01-18 17:42:13 +01:00
Jitse Niesen
d6bf9f848a Correct description of rankUpdate() in quick reference guide.
Thanks to Sameer Agarwal for pointing out this mistake.
(transplanted from bc0fc5d21e
)
2012-01-09 12:57:11 +00:00
Keir Mierle
2d4fee0b40 Fix out-of-range int constant in 4x4 inverse.
(transplanted from 45bcad41b4
)
2012-01-05 23:15:09 -08:00
Gael Guennebaud
e7ef367db1 suppress unused variable warnings 2012-01-06 09:02:06 +01:00
Gael Guennebaud
bdee0c9baa set the default number of iteration to the size of the problem 2011-12-27 16:38:05 +01:00
Gael Guennebaud
15ea999f84 pushed too fast the previous one 2011-12-23 23:22:31 +01:00
Gael Guennebaud
901bcdd2a8 the previous test works for Dynamic sizes only 2011-12-23 23:16:43 +01:00
Gael Guennebaud
96a18ef230 add a reconstruction test 2011-12-23 23:15:08 +01:00
Gael Guennebaud
8171adb7ff fix bug #398, the quaternion returned by slerp was not always normalized,
add a proper unit test for slerp
2011-12-23 22:39:32 +01:00
Gael Guennebaud
67ae94f3a2 fix compilation of sparse_basic unit test for complexes 2011-12-23 09:41:14 +01:00
Gael Guennebaud
e3e39ea26d suppress an 'unused variable' warning 2011-12-22 14:06:16 +01:00
Gael Guennebaud
2c03e6fccc evaluate 1D sparse expressions into SparseVector and make the sparse operator<< and dot honor nested types 2011-12-22 14:01:06 +01:00
Gael Guennebaud
7f04845023 fix assignment of a row-major sparse vector to a column major sparse one 2011-12-22 11:53:47 +01:00
Gael Guennebaud
e4cea957df fix bug #391: prune was for compressed format only, now it also turns the matrix into compressed form 2011-12-20 18:37:24 +01:00
Gael Guennebaud
7e866c447f fix bug #391: improper stream output for uncompressed mode, also avoid double debugging outputs for column major matrices 2011-12-20 18:31:00 +01:00
Gael Guennebaud
6f92b75874 add aliasing test for sparse*sparse product 2011-12-20 18:10:22 +01:00
Gael Guennebaud
50d756b9ea fix bug #394: innerVector::nonZeros() was broken for uncompressed mode 2011-12-20 18:10:02 +01:00
Gael Guennebaud
15d781b64c we need to define EXTRACT_ALL to YES to get doxygen see the whole hierarchy. Exclude internal::* from the doc. 2011-12-20 10:25:54 +01:00
Gael Guennebaud
fcc966b40d workaround doxygen limitation to follow the base class of PlainObjectBase 2011-12-19 22:13:11 +01:00
Gael Guennebaud
33e52a3943 rm local fill-in ratio estimation (was broken sometimes) 2011-12-16 16:29:46 +01:00
Gael Guennebaud
732a50d043 implement a more optimistic heuristic to predict the nnz of a saprse*sparse product 2011-12-16 15:59:44 +01:00
Gael Guennebaud
40c0f3af57 fig bug #396: add a static assertion on the storage order of a sparse-sparse coeff-wise binary op 2011-12-15 19:23:20 +01:00
Jitse Niesen
3db6455896 Remove evaluators for 2.1 release.
We plan to re-instate them when we branch 2.2 (see bug #388).
2011-12-14 21:23:43 +00:00
Gael Guennebaud
0308c11849 remove a file that was not intended to be committed 2011-12-13 08:42:48 +01:00
Jitse Niesen
1e7712771e Remove asserts that eigenvalue computation has converged (bug #354). 2011-12-12 17:17:38 +00:00
Gael Guennebaud
1aa6c7f122 fix sparse insertion example 2011-12-11 17:18:14 +01:00
Gael Guennebaud
d738bedc5b remove redundant declaration (fix compilation with clang 3.0) 2011-12-11 11:45:03 +01:00
Gael Guennebaud
f60e6f5ee8 s/compressed()/isCompressed() 2011-12-10 23:08:10 +01:00
Gael Guennebaud
594fd2d11d Cholmod: add support for uncompressed SparseMatrix objects 2011-12-10 22:53:31 +01:00
Gael Guennebaud
9d7d634897 add cholmod_support unit tests 2011-12-10 19:32:17 +01:00
Gael Guennebaud
f35708d2e0 enforce weak linking of xerbla 2011-12-10 19:30:36 +01:00
Gael Guennebaud
105e170d8b trivial compilation fix 2011-12-10 16:17:12 +01:00
Gael Guennebaud
2600ba1731 feature 297: s/intersectionPoint/pointAt, fix documentation, add a unit test 2011-12-10 12:17:42 +01:00
Andy Somerville
c06ae325a4 feature 297: add ParametrizedLine::intersectionPoint() and intersectionParam()
-> intersection() is deprecated
2011-12-10 11:58:38 +01:00
Igor Krivenko
36457178f9 bug #352:properly cast constants 2011-12-09 23:38:41 +01:00
Gael Guennebaud
d400a6245e fix compilation with EIGEN_NO_DEBUG 2011-12-09 23:42:39 +01:00
Gael Guennebaud
38277e8a9b feature 319: fix LDLT::rankUpdate for complex/upper, simply the algortihm, update copyrights 2011-12-09 23:08:38 +01:00
Tim Holy
2d7c3eea53 feature 319: Add update and downdate functionality to LDLT 2011-12-09 21:04:44 +01:00
Gael Guennebaud
37f304a2e6 add a "using MKL" documentation page, add a minimal documentation of PARDISO wrapper classes, refine a bit the EIGEN_USE_* logic 2011-12-09 16:52:37 +01:00
Sebastian Lipponer
fff25a4b46 Fix MSVC integer overflow warning 2011-12-09 10:39:10 +00:00
Gael Guennebaud
57c6bfba08 add missing CMakeLists.txt 2011-12-09 10:53:12 +01:00
Gael Guennebaud
081abb701d add user defined CXX and LINKER flag cmake variables for the unit tests 2011-12-09 10:50:13 +01:00
Gael Guennebaud
10447a7b57 mv blas.h to src/misc such that it would be possible to use any blas libraries,
however, this requires some more works:
 - add const qualifiers in the declarations of blas.h
 - add the possibility to add a suffix to blas function names
2011-12-09 10:40:35 +01:00
Gael Guennebaud
43cdd242d0 - split and rename defined tokens to enable the use of BLAS/Lapack/VML/etc
- include MKL headers outside the Eigen namespace.
2011-12-09 10:06:49 +01:00
karturov
015c331252 Intel(R) MKL support added.
* * *
License disclaimer changed to BSD license for MKL_support.h
* * *
Pardiso support fixed, test added.
blas/lapack tests fixed: Scalar parameter was added in Cholesky, product_matrix_vector_triangular remaned to triangular_matrix_vector_product.
* * *
PARDISO test was added physically.
2011-12-05 14:52:21 +07:00
Gael Guennebaud
e270a5656a fix min/max clash with clang's header by including fstream beforehand 2011-12-08 23:27:10 +01:00
Gael Guennebaud
86bb20c431 remove dead code 2011-12-08 23:22:28 +01:00
Gael Guennebaud
e36a4c880a suppress deprecated warning when compiling legacy tests 2011-12-08 23:15:07 +01:00
Gael Guennebaud
06450882ab add missing CMakeLists.txt in Splines 2011-12-08 23:12:39 +01:00
Jitse Niesen
dd232e30b0 Document QuaternionBase, minor doc improvements.
* Document class QuaternionBase so that docs for members are displayed.
* Remove obsolete \redstar refering to Array module
* Fix typo in Constants.h
* Document EIGEN_NO_AUTOMATIC_RESIZING
2011-12-08 14:22:06 +00:00
Gael Guennebaud
a1fa05f14e improve compiler name and version detection 2011-12-07 13:20:52 +01:00
Gael Guennebaud
a0da96e2f4 fix detection of ICC version 2011-12-06 22:07:20 +01:00
Gael Guennebaud
80f8ed9f9c improve compiler and architecture detection 2011-12-06 19:54:34 +01:00
Thomas Capricelli
c3ad1f9382 eigen_gen_docs: dont try to update permissions on server 2011-12-06 15:55:20 +01:00
Gael Guennebaud
6ec0af6dc7 Added tag 3.1.0-alpha1 for changeset e017f798eb 2011-12-06 15:53:46 +01:00
601 changed files with 15745 additions and 15373 deletions

View File

@@ -64,6 +64,10 @@ set(CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake)
find_package(StandardMathLibrary)
set(EIGEN_TEST_CUSTOM_LINKER_FLAGS "" CACHE STRING "Additional linker flags when linking unit tests.")
set(EIGEN_TEST_CUSTOM_CXX_FLAGS "" CACHE STRING "Additional compiler flags when compiling unit tests.")
set(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO "")
if(NOT STANDARD_MATH_LIBRARY_FOUND)
@@ -160,7 +164,7 @@ if(CMAKE_COMPILER_IS_GNUCXX)
option(EIGEN_TEST_NEON "Enable/Disable Neon in tests/examples" OFF)
if(EIGEN_TEST_NEON)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfloat-abi=softfp -mfpu=neon -mcpu=cortex-a8")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfpu=neon -mcpu=cortex-a8")
message(STATUS "Enabling NEON in tests/examples")
endif()
@@ -334,6 +338,10 @@ if(EIGEN_BUILD_BTL)
add_subdirectory(bench/btl EXCLUDE_FROM_ALL)
endif(EIGEN_BUILD_BTL)
if(NOT WIN32)
add_subdirectory(bench/spbench EXCLUDE_FROM_ALL)
endif(NOT WIN32)
ei_testing_print_summary()
message(STATUS "")

26
COPYING.BSD Normal file
View File

@@ -0,0 +1,26 @@
/*
Copyright (c) 2011, Intel Corporation. All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name of Intel Corporation nor the names of its contributors may
be used to endorse or promote products derived from this software without
specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/

View File

@@ -1,165 +1,502 @@
GNU LESSER GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Version 2.1, February 1999
Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
Copyright (C) 1991, 1999 Free Software Foundation, Inc.
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
[This is the first released version of the Lesser GPL. It also counts
as the successor of the GNU Library Public License, version 2, hence
the version number 2.1.]
This version of the GNU Lesser General Public License incorporates
the terms and conditions of version 3 of the GNU General Public
License, supplemented by the additional permissions listed below.
Preamble
0. Additional Definitions.
The licenses for most software are designed to take away your
freedom to share and change it. By contrast, the GNU General Public
Licenses are intended to guarantee your freedom to share and change
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As used herein, "this License" refers to version 3 of the GNU Lesser
General Public License, and the "GNU GPL" refers to version 3 of the GNU
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This license, the Lesser General Public License, applies to some
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"The Library" refers to a covered work governed by this License,
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When we speak of free software, we are referring to freedom of use,
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That's all there is to it!

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Minpack Copyright Notice (1999) University of Chicago. All rights reserved
Redistribution and use in source and binary forms, with or
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1. Redistributions of source code must retain the above
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Alternately, this acknowledgment may appear in the software
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4. WARRANTY DISCLAIMER. THE SOFTWARE IS SUPPLIED "AS IS"
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EVEN IF ANY OF SAID PARTIES HAS BEEN WARNED OF THE
POSSIBILITY OF SUCH LOSS OR DAMAGES.

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Mozilla Public License Version 2.0
==================================
1. Definitions
--------------
1.1. "Contributor"
means each individual or legal entity that creates, contributes to
the creation of, or owns Covered Software.
1.2. "Contributor Version"
means the combination of the Contributions of others (if any) used
by a Contributor and that particular Contributor's Contribution.
1.3. "Contribution"
means Covered Software of a particular Contributor.
1.4. "Covered Software"
means Source Code Form to which the initial Contributor has attached
the notice in Exhibit A, the Executable Form of such Source Code
Form, and Modifications of such Source Code Form, in each case
including portions thereof.
1.5. "Incompatible With Secondary Licenses"
means
(a) that the initial Contributor has attached the notice described
in Exhibit B to the Covered Software; or
(b) that the Covered Software was made available under the terms of
version 1.1 or earlier of the License, but not also under the
terms of a Secondary License.
1.6. "Executable Form"
means any form of the work other than Source Code Form.
1.7. "Larger Work"
means a work that combines Covered Software with other material, in
a separate file or files, that is not Covered Software.
1.8. "License"
means this document.
1.9. "Licensable"
means having the right to grant, to the maximum extent possible,
whether at the time of the initial grant or subsequently, any and
all of the rights conveyed by this License.
1.10. "Modifications"
means any of the following:
(a) any file in Source Code Form that results from an addition to,
deletion from, or modification of the contents of Covered
Software; or
(b) any new file in Source Code Form that contains any Covered
Software.
1.11. "Patent Claims" of a Contributor
means any patent claim(s), including without limitation, method,
process, and apparatus claims, in any patent Licensable by such
Contributor that would be infringed, but for the grant of the
License, by the making, using, selling, offering for sale, having
made, import, or transfer of either its Contributions or its
Contributor Version.
1.12. "Secondary License"
means either the GNU General Public License, Version 2.0, the GNU
Lesser General Public License, Version 2.1, the GNU Affero General
Public License, Version 3.0, or any later versions of those
licenses.
1.13. "Source Code Form"
means the form of the work preferred for making modifications.
1.14. "You" (or "Your")
means an individual or a legal entity exercising rights under this
License. For legal entities, "You" includes any entity that
controls, is controlled by, or is under common control with You. For
purposes of this definition, "control" means (a) the power, direct
or indirect, to cause the direction or management of such entity,
whether by contract or otherwise, or (b) ownership of more than
fifty percent (50%) of the outstanding shares or beneficial
ownership of such entity.
2. License Grants and Conditions
--------------------------------
2.1. Grants
Each Contributor hereby grants You a world-wide, royalty-free,
non-exclusive license:
(a) under intellectual property rights (other than patent or trademark)
Licensable by such Contributor to use, reproduce, make available,
modify, display, perform, distribute, and otherwise exploit its
Contributions, either on an unmodified basis, with Modifications, or
as part of a Larger Work; and
(b) under Patent Claims of such Contributor to make, use, sell, offer
for sale, have made, import, and otherwise transfer either its
Contributions or its Contributor Version.
2.2. Effective Date
The licenses granted in Section 2.1 with respect to any Contribution
become effective for each Contribution on the date the Contributor first
distributes such Contribution.
2.3. Limitations on Grant Scope
The licenses granted in this Section 2 are the only rights granted under
this License. No additional rights or licenses will be implied from the
distribution or licensing of Covered Software under this License.
Notwithstanding Section 2.1(b) above, no patent license is granted by a
Contributor:
(a) for any code that a Contributor has removed from Covered Software;
or
(b) for infringements caused by: (i) Your and any other third party's
modifications of Covered Software, or (ii) the combination of its
Contributions with other software (except as part of its Contributor
Version); or
(c) under Patent Claims infringed by Covered Software in the absence of
its Contributions.
This License does not grant any rights in the trademarks, service marks,
or logos of any Contributor (except as may be necessary to comply with
the notice requirements in Section 3.4).
2.4. Subsequent Licenses
No Contributor makes additional grants as a result of Your choice to
distribute the Covered Software under a subsequent version of this
License (see Section 10.2) or under the terms of a Secondary License (if
permitted under the terms of Section 3.3).
2.5. Representation
Each Contributor represents that the Contributor believes its
Contributions are its original creation(s) or it has sufficient rights
to grant the rights to its Contributions conveyed by this License.
2.6. Fair Use
This License is not intended to limit any rights You have under
applicable copyright doctrines of fair use, fair dealing, or other
equivalents.
2.7. Conditions
Sections 3.1, 3.2, 3.3, and 3.4 are conditions of the licenses granted
in Section 2.1.
3. Responsibilities
-------------------
3.1. Distribution of Source Form
All distribution of Covered Software in Source Code Form, including any
Modifications that You create or to which You contribute, must be under
the terms of this License. You must inform recipients that the Source
Code Form of the Covered Software is governed by the terms of this
License, and how they can obtain a copy of this License. You may not
attempt to alter or restrict the recipients' rights in the Source Code
Form.
3.2. Distribution of Executable Form
If You distribute Covered Software in Executable Form then:
(a) such Covered Software must also be made available in Source Code
Form, as described in Section 3.1, and You must inform recipients of
the Executable Form how they can obtain a copy of such Source Code
Form by reasonable means in a timely manner, at a charge no more
than the cost of distribution to the recipient; and
(b) You may distribute such Executable Form under the terms of this
License, or sublicense it under different terms, provided that the
license for the Executable Form does not attempt to limit or alter
the recipients' rights in the Source Code Form under this License.
3.3. Distribution of a Larger Work
You may create and distribute a Larger Work under terms of Your choice,
provided that You also comply with the requirements of this License for
the Covered Software. If the Larger Work is a combination of Covered
Software with a work governed by one or more Secondary Licenses, and the
Covered Software is not Incompatible With Secondary Licenses, this
License permits You to additionally distribute such Covered Software
under the terms of such Secondary License(s), so that the recipient of
the Larger Work may, at their option, further distribute the Covered
Software under the terms of either this License or such Secondary
License(s).
3.4. Notices
You may not remove or alter the substance of any license notices
(including copyright notices, patent notices, disclaimers of warranty,
or limitations of liability) contained within the Source Code Form of
the Covered Software, except that You may alter any license notices to
the extent required to remedy known factual inaccuracies.
3.5. Application of Additional Terms
You may choose to offer, and to charge a fee for, warranty, support,
indemnity or liability obligations to one or more recipients of Covered
Software. However, You may do so only on Your own behalf, and not on
behalf of any Contributor. You must make it absolutely clear that any
such warranty, support, indemnity, or liability obligation is offered by
You alone, and You hereby agree to indemnify every Contributor for any
liability incurred by such Contributor as a result of warranty, support,
indemnity or liability terms You offer. You may include additional
disclaimers of warranty and limitations of liability specific to any
jurisdiction.
4. Inability to Comply Due to Statute or Regulation
---------------------------------------------------
If it is impossible for You to comply with any of the terms of this
License with respect to some or all of the Covered Software due to
statute, judicial order, or regulation then You must: (a) comply with
the terms of this License to the maximum extent possible; and (b)
describe the limitations and the code they affect. Such description must
be placed in a text file included with all distributions of the Covered
Software under this License. Except to the extent prohibited by statute
or regulation, such description must be sufficiently detailed for a
recipient of ordinary skill to be able to understand it.
5. Termination
--------------
5.1. The rights granted under this License will terminate automatically
if You fail to comply with any of its terms. However, if You become
compliant, then the rights granted under this License from a particular
Contributor are reinstated (a) provisionally, unless and until such
Contributor explicitly and finally terminates Your grants, and (b) on an
ongoing basis, if such Contributor fails to notify You of the
non-compliance by some reasonable means prior to 60 days after You have
come back into compliance. Moreover, Your grants from a particular
Contributor are reinstated on an ongoing basis if such Contributor
notifies You of the non-compliance by some reasonable means, this is the
first time You have received notice of non-compliance with this License
from such Contributor, and You become compliant prior to 30 days after
Your receipt of the notice.
5.2. If You initiate litigation against any entity by asserting a patent
infringement claim (excluding declaratory judgment actions,
counter-claims, and cross-claims) alleging that a Contributor Version
directly or indirectly infringes any patent, then the rights granted to
You by any and all Contributors for the Covered Software under Section
2.1 of this License shall terminate.
5.3. In the event of termination under Sections 5.1 or 5.2 above, all
end user license agreements (excluding distributors and resellers) which
have been validly granted by You or Your distributors under this License
prior to termination shall survive termination.
************************************************************************
* *
* 6. Disclaimer of Warranty *
* ------------------------- *
* *
* Covered Software is provided under this License on an "as is" *
* basis, without warranty of any kind, either expressed, implied, or *
* statutory, including, without limitation, warranties that the *
* Covered Software is free of defects, merchantable, fit for a *
* particular purpose or non-infringing. The entire risk as to the *
* quality and performance of the Covered Software is with You. *
* Should any Covered Software prove defective in any respect, You *
* (not any Contributor) assume the cost of any necessary servicing, *
* repair, or correction. This disclaimer of warranty constitutes an *
* essential part of this License. No use of any Covered Software is *
* authorized under this License except under this disclaimer. *
* *
************************************************************************
************************************************************************
* *
* 7. Limitation of Liability *
* -------------------------- *
* *
* Under no circumstances and under no legal theory, whether tort *
* (including negligence), contract, or otherwise, shall any *
* Contributor, or anyone who distributes Covered Software as *
* permitted above, be liable to You for any direct, indirect, *
* special, incidental, or consequential damages of any character *
* including, without limitation, damages for lost profits, loss of *
* goodwill, work stoppage, computer failure or malfunction, or any *
* and all other commercial damages or losses, even if such party *
* shall have been informed of the possibility of such damages. This *
* limitation of liability shall not apply to liability for death or *
* personal injury resulting from such party's negligence to the *
* extent applicable law prohibits such limitation. Some *
* jurisdictions do not allow the exclusion or limitation of *
* incidental or consequential damages, so this exclusion and *
* limitation may not apply to You. *
* *
************************************************************************
8. Litigation
-------------
Any litigation relating to this License may be brought only in the
courts of a jurisdiction where the defendant maintains its principal
place of business and such litigation shall be governed by laws of that
jurisdiction, without reference to its conflict-of-law provisions.
Nothing in this Section shall prevent a party's ability to bring
cross-claims or counter-claims.
9. Miscellaneous
----------------
This License represents the complete agreement concerning the subject
matter hereof. If any provision of this License is held to be
unenforceable, such provision shall be reformed only to the extent
necessary to make it enforceable. Any law or regulation which provides
that the language of a contract shall be construed against the drafter
shall not be used to construe this License against a Contributor.
10. Versions of the License
---------------------------
10.1. New Versions
Mozilla Foundation is the license steward. Except as provided in Section
10.3, no one other than the license steward has the right to modify or
publish new versions of this License. Each version will be given a
distinguishing version number.
10.2. Effect of New Versions
You may distribute the Covered Software under the terms of the version
of the License under which You originally received the Covered Software,
or under the terms of any subsequent version published by the license
steward.
10.3. Modified Versions
If you create software not governed by this License, and you want to
create a new license for such software, you may create and use a
modified version of this License if you rename the license and remove
any references to the name of the license steward (except to note that
such modified license differs from this License).
10.4. Distributing Source Code Form that is Incompatible With Secondary
Licenses
If You choose to distribute Source Code Form that is Incompatible With
Secondary Licenses under the terms of this version of the License, the
notice described in Exhibit B of this License must be attached.
Exhibit A - Source Code Form License Notice
-------------------------------------------
This Source Code Form is subject to the terms of the Mozilla Public
License, v. 2.0. If a copy of the MPL was not distributed with this
file, You can obtain one at http://mozilla.org/MPL/2.0/.
If it is not possible or desirable to put the notice in a particular
file, then You may include the notice in a location (such as a LICENSE
file in a relevant directory) where a recipient would be likely to look
for such a notice.
You may add additional accurate notices of copyright ownership.
Exhibit B - "Incompatible With Secondary Licenses" Notice
---------------------------------------------------------
This Source Code Form is "Incompatible With Secondary Licenses", as
defined by the Mozilla Public License, v. 2.0.

18
COPYING.README Normal file
View File

@@ -0,0 +1,18 @@
Eigen is primarily MPL2 licensed. See COPYING.MPL2 and these links:
http://www.mozilla.org/MPL/2.0/
http://www.mozilla.org/MPL/2.0/FAQ.html
Some files contain third-party code under BSD or LGPL licenses, whence the other
COPYING.* files here.
All the LGPL code is either LGPL 2.1-only, or LGPL 2.1-or-later.
For this reason, the COPYING.LGPL file contains the LGPL 2.1 text.
If you want to guarantee that the Eigen code that you are #including is licensed
under the MPL2 and possibly more permissive licenses (like BSD), #define this
preprocessor symbol:
EIGEN_MPL2_ONLY
For example, with most compilers, you could add this to your project CXXFLAGS:
-DEIGEN_MPL2_ONLY
This will cause a compilation error to be generated if you #include any code that is
LGPL licensed.

View File

@@ -8,6 +8,6 @@ set(CTEST_PROJECT_NAME "Eigen")
set(CTEST_NIGHTLY_START_TIME "00:00:00 UTC")
set(CTEST_DROP_METHOD "http")
set(CTEST_DROP_SITE "eigen.tuxfamily.org")
set(CTEST_DROP_SITE "manao.inria.fr")
set(CTEST_DROP_LOCATION "/CDash/submit.php?project=Eigen")
set(CTEST_DROP_SITE_CDASH TRUE)

View File

@@ -5,8 +5,6 @@
#include "src/Core/util/DisableStupidWarnings.h"
namespace Eigen {
/** \defgroup Cholesky_Module Cholesky module
*
*
@@ -24,8 +22,9 @@ namespace Eigen {
#include "src/misc/Solve.h"
#include "src/Cholesky/LLT.h"
#include "src/Cholesky/LDLT.h"
} // namespace Eigen
#ifdef EIGEN_USE_LAPACKE
#include "src/Cholesky/LLT_MKL.h"
#endif
#include "src/Core/util/ReenableStupidWarnings.h"

View File

@@ -9,15 +9,28 @@ extern "C" {
#include <cholmod.h>
}
namespace Eigen {
/** \ingroup Support_modules
* \defgroup CholmodSupport_Module CholmodSupport module
*
* This module provides an interface to the Cholmod library which is part of the <a href="http://www.cise.ufl.edu/research/sparse/SuiteSparse/">suitesparse</a> package.
* It provides the two following main factorization classes:
* - class CholmodSupernodalLLT: a supernodal LLT Cholesky factorization.
* - class CholmodDecomposiiton: a general L(D)LT Cholesky factorization with automatic or explicit runtime selection of the underlying factorization method (supernodal or simplicial).
*
* For the sake of completeness, this module also propose the two following classes:
* - class CholmodSimplicialLLT
* - class CholmodSimplicialLDLT
* Note that these classes does not bring any particular advantage compared to the built-in
* SimplicialLLT and SimplicialLDLT factorization classes.
*
* \code
* #include <Eigen/CholmodSupport>
* \endcode
*
* In order to use this module, the cholmod headers must be accessible from the include paths, and your binary must be linked to the cholmod library and its dependencies.
* The dependencies depend on how cholmod has been compiled.
* For a cmake based project, you can use our FindCholmod.cmake module to help you in this task.
*
*/
#include "src/misc/Solve.h"
@@ -26,8 +39,6 @@ namespace Eigen {
#include "src/CholmodSupport/CholmodSupport.h"
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_CHOLMODSUPPORT_MODULE_H

View File

@@ -4,24 +4,9 @@
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2007-2011 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CORE_H
#define EIGEN_CORE_H
@@ -34,6 +19,12 @@
// defined e.g. EIGEN_DONT_ALIGN) so it needs to be done before we do anything with vectorization.
#include "src/Core/util/Macros.h"
#include <complex>
// this include file manages BLAS and MKL related macros
// and inclusion of their respective header files
#include "src/Core/util/MKL_support.h"
// if alignment is disabled, then disable vectorization. Note: EIGEN_ALIGN is the proper check, it takes into
// account both the user's will (EIGEN_DONT_ALIGN) and our own platform checks
#if !EIGEN_ALIGN
@@ -136,7 +127,7 @@
#endif
// MSVC for windows mobile does not have the errno.h file
#if !(defined(_MSC_VER) && defined(_WIN32_WCE))
#if !(defined(_MSC_VER) && defined(_WIN32_WCE)) && !defined(__ARMCC_VERSION)
#define EIGEN_HAS_ERRNO
#endif
@@ -146,7 +137,6 @@
#include <cstddef>
#include <cstdlib>
#include <cmath>
#include <complex>
#include <cassert>
#include <functional>
#include <iosfwd>
@@ -198,6 +188,8 @@ inline static const char *SimdInstructionSetsInUse(void) {
#endif
}
} // end namespace Eigen
#define STAGE10_FULL_EIGEN2_API 10
#define STAGE20_RESOLVE_API_CONFLICTS 20
#define STAGE30_FULL_EIGEN3_API 30
@@ -322,12 +314,12 @@ using std::ptrdiff_t;
#include "src/Core/GeneralProduct.h"
#include "src/Core/TriangularMatrix.h"
#include "src/Core/SelfAdjointView.h"
#include "src/Core/SolveTriangular.h"
#include "src/Core/products/GeneralBlockPanelKernel.h"
#include "src/Core/products/Parallelizer.h"
#include "src/Core/products/CoeffBasedProduct.h"
#include "src/Core/products/GeneralBlockPanelKernel.h"
#include "src/Core/products/GeneralMatrixVector.h"
#include "src/Core/products/GeneralMatrixMatrix.h"
#include "src/Core/SolveTriangular.h"
#include "src/Core/products/GeneralMatrixMatrixTriangular.h"
#include "src/Core/products/SelfadjointMatrixVector.h"
#include "src/Core/products/SelfadjointMatrixMatrix.h"
@@ -348,13 +340,20 @@ using std::ptrdiff_t;
#include "src/Core/ArrayBase.h"
#include "src/Core/ArrayWrapper.h"
#ifdef EIGEN_ENABLE_EVALUATORS
#include "src/Core/Product.h"
#include "src/Core/CoreEvaluators.h"
#include "src/Core/AssignEvaluator.h"
#endif
#ifdef EIGEN_USE_BLAS
#include "src/Core/products/GeneralMatrixMatrix_MKL.h"
#include "src/Core/products/GeneralMatrixVector_MKL.h"
#include "src/Core/products/GeneralMatrixMatrixTriangular_MKL.h"
#include "src/Core/products/SelfadjointMatrixMatrix_MKL.h"
#include "src/Core/products/SelfadjointMatrixVector_MKL.h"
#include "src/Core/products/TriangularMatrixMatrix_MKL.h"
#include "src/Core/products/TriangularMatrixVector_MKL.h"
#include "src/Core/products/TriangularSolverMatrix_MKL.h"
#endif // EIGEN_USE_BLAS
} // namespace Eigen
#ifdef EIGEN_USE_MKL_VML
#include "src/Core/Assign_MKL.h"
#endif
#include "src/Core/GlobalFunctions.h"

View File

@@ -3,24 +3,9 @@
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN2SUPPORT_H
#define EIGEN2SUPPORT_H
@@ -31,8 +16,6 @@
#include "src/Core/util/DisableStupidWarnings.h"
namespace Eigen {
/** \ingroup Support_modules
* \defgroup Eigen2Support_Module Eigen2 support module
* This module provides a couple of deprecated functions improving the compatibility with Eigen2.
@@ -57,8 +40,6 @@ namespace Eigen {
#include "src/Eigen2Support/MathFunctions.h"
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
// Eigen2 used to include iostream

View File

@@ -11,8 +11,6 @@
#include "LU"
#include "Geometry"
namespace Eigen {
/** \defgroup Eigenvalues_Module Eigenvalues module
*
*
@@ -36,8 +34,11 @@ namespace Eigen {
#include "src/Eigenvalues/ComplexSchur.h"
#include "src/Eigenvalues/ComplexEigenSolver.h"
#include "src/Eigenvalues/MatrixBaseEigenvalues.h"
} // namespace Eigen
#ifdef EIGEN_USE_LAPACKE
#include "src/Eigenvalues/RealSchur_MKL.h"
#include "src/Eigenvalues/ComplexSchur_MKL.h"
#include "src/Eigenvalues/SelfAdjointEigenSolver_MKL.h"
#endif
#include "src/Core/util/ReenableStupidWarnings.h"

View File

@@ -13,8 +13,6 @@
#define M_PI 3.14159265358979323846
#endif
namespace Eigen {
/** \defgroup Geometry_Module Geometry module
*
*
@@ -58,8 +56,6 @@ namespace Eigen {
#include "src/Eigen2Support/Geometry/All.h"
#endif
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_GEOMETRY_MODULE_H

View File

@@ -5,8 +5,6 @@
#include "src/Core/util/DisableStupidWarnings.h"
namespace Eigen {
/** \defgroup Householder_Module Householder module
* This module provides Householder transformations.
*
@@ -19,8 +17,6 @@ namespace Eigen {
#include "src/Householder/HouseholderSequence.h"
#include "src/Householder/BlockHouseholder.h"
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_HOUSEHOLDER_MODULE_H

View File

@@ -2,11 +2,10 @@
#define EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
#include "SparseCore"
#include "OrderingMethods"
#include "src/Core/util/DisableStupidWarnings.h"
namespace Eigen {
/** \ingroup Sparse_modules
* \defgroup IterativeLinearSolvers_Module IterativeLinearSolvers module
*
@@ -15,6 +14,11 @@ namespace Eigen {
* - ConjugateGradient for selfadjoint (hermitian) matrices,
* - BiCGSTAB for general square matrices.
*
* These iterative solvers are associated with some preconditioners:
* - IdentityPreconditioner - not really useful
* - DiagonalPreconditioner - also called JAcobi preconditioner, work very well on diagonal dominant matrices.
* - IncompleteILUT - incomplete LU factorization with dual thresholding
*
* Such problems can also be solved using the direct sparse decomposition modules: SparseCholesky, CholmodSupport, UmfPackSupport, SuperLUSupport.
*
* \code
@@ -29,8 +33,7 @@ namespace Eigen {
#include "src/IterativeLinearSolvers/BasicPreconditioners.h"
#include "src/IterativeLinearSolvers/ConjugateGradient.h"
#include "src/IterativeLinearSolvers/BiCGSTAB.h"
} // namespace Eigen
#include "src/IterativeLinearSolvers/IncompleteLUT.h"
#include "src/Core/util/ReenableStupidWarnings.h"

View File

@@ -5,8 +5,6 @@
#include "src/Core/util/DisableStupidWarnings.h"
namespace Eigen {
/** \defgroup Jacobi_Module Jacobi module
* This module provides Jacobi and Givens rotations.
*
@@ -21,8 +19,6 @@ namespace Eigen {
#include "src/Jacobi/Jacobi.h"
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_JACOBI_MODULE_H

View File

@@ -5,8 +5,6 @@
#include "src/Core/util/DisableStupidWarnings.h"
namespace Eigen {
/** \defgroup LU_Module LU module
* This module includes %LU decomposition and related notions such as matrix inversion and determinant.
* This module defines the following MatrixBase methods:
@@ -23,6 +21,9 @@ namespace Eigen {
#include "src/misc/Image.h"
#include "src/LU/FullPivLU.h"
#include "src/LU/PartialPivLU.h"
#ifdef EIGEN_USE_LAPACKE
#include "src/LU/PartialPivLU_MKL.h"
#endif
#include "src/LU/Determinant.h"
#include "src/LU/Inverse.h"
@@ -34,8 +35,6 @@ namespace Eigen {
#include "src/Eigen2Support/LU.h"
#endif
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_LU_MODULE_H

View File

@@ -15,8 +15,6 @@
#include "Eigenvalues"
#include "Geometry"
namespace Eigen {
/** \defgroup LeastSquares_Module LeastSquares module
* This module provides linear regression and related features.
*
@@ -27,8 +25,6 @@ namespace Eigen {
#include "src/Eigen2Support/LeastSquares.h"
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN2_SUPPORT

View File

@@ -5,8 +5,6 @@
#include "src/Core/util/DisableStupidWarnings.h"
namespace Eigen {
/** \ingroup Sparse_modules
* \defgroup OrderingMethods_Module OrderingMethods module
*
@@ -20,8 +18,6 @@ namespace Eigen {
#include "src/OrderingMethods/Amd.h"
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_ORDERINGMETHODS_MODULE_H

46
Eigen/PaStiXSupport Normal file
View File

@@ -0,0 +1,46 @@
#ifndef EIGEN_PASTIXSUPPORT_MODULE_H
#define EIGEN_PASTIXSUPPORT_MODULE_H
#include "SparseCore"
#include "src/Core/util/DisableStupidWarnings.h"
#include <complex.h>
extern "C" {
#include <pastix_nompi.h>
#include <pastix.h>
}
#ifdef complex
#undef complex
#endif
/** \ingroup Support_modules
* \defgroup PaStiXSupport_Module PaStiXSupport module
*
* This module provides an interface to the <a href="http://pastix.gforge.inria.fr/">PaSTiX</a> library.
* PaSTiX is a general \b supernodal, \b parallel and \b opensource sparse solver.
* It provides the two following main factorization classes:
* - class PastixLLT : a supernodal, parallel LLt Cholesky factorization.
* - class PastixLDLT: a supernodal, parallel LDLt Cholesky factorization.
* - class PastixLU : a supernodal, parallel LU factorization (optimized for a symmetric pattern).
*
* \code
* #include <Eigen/PaStiXSupport>
* \endcode
*
* In order to use this module, the PaSTiX headers must be accessible from the include paths, and your binary must be linked to the PaSTiX library and its dependencies.
* The dependencies depend on how PaSTiX has been compiled.
* For a cmake based project, you can use our FindPaSTiX.cmake module to help you in this task.
*
*/
#include "src/misc/Solve.h"
#include "src/misc/SparseSolve.h"
#include "src/PaStiXSupport/PaStiXSupport.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_PASTIXSUPPORT_MODULE_H

30
Eigen/PardisoSupport Normal file
View File

@@ -0,0 +1,30 @@
#ifndef EIGEN_PARDISOSUPPORT_MODULE_H
#define EIGEN_PARDISOSUPPORT_MODULE_H
#include "SparseCore"
#include "src/Core/util/DisableStupidWarnings.h"
#include <mkl_pardiso.h>
#include <unsupported/Eigen/SparseExtra>
/** \ingroup Support_modules
* \defgroup PardisoSupport_Module PardisoSupport module
*
* This module brings support for the Intel(R) MKL PARDISO direct sparse solvers.
*
* \code
* #include <Eigen/PardisoSupport>
* \endcode
*
* In order to use this module, the MKL headers must be accessible from the include paths, and your binary must be linked to the MKL library and its dependencies.
* See this \ref TopicUsingIntelMKL "page" for more information on MKL-Eigen integration.
*
*/
#include "src/PardisoSupport/PardisoSupport.h"
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_PARDISOSUPPORT_MODULE_H

View File

@@ -9,8 +9,6 @@
#include "Jacobi"
#include "Householder"
namespace Eigen {
/** \defgroup QR_Module QR module
*
*
@@ -28,13 +26,15 @@ namespace Eigen {
#include "src/QR/HouseholderQR.h"
#include "src/QR/FullPivHouseholderQR.h"
#include "src/QR/ColPivHouseholderQR.h"
#ifdef EIGEN_USE_LAPACKE
#include "src/QR/HouseholderQR_MKL.h"
#include "src/QR/ColPivHouseholderQR_MKL.h"
#endif
#ifdef EIGEN2_SUPPORT
#include "src/Eigen2Support/QR.h"
#endif
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#ifdef EIGEN2_SUPPORT

View File

@@ -7,15 +7,13 @@
#include "src/Core/util/DisableStupidWarnings.h"
namespace Eigen {
/** \defgroup SVD_Module SVD module
*
*
*
* This module provides SVD decomposition for (currently) real matrices.
* This module provides SVD decomposition for matrices (both real and complex).
* This decomposition is accessible via the following MatrixBase method:
* - MatrixBase::svd()
* - MatrixBase::jacobiSvd()
*
* \code
* #include <Eigen/SVD>
@@ -24,14 +22,15 @@ namespace Eigen {
#include "src/misc/Solve.h"
#include "src/SVD/JacobiSVD.h"
#if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT)
#include "src/SVD/JacobiSVD_MKL.h"
#endif
#include "src/SVD/UpperBidiagonalization.h"
#ifdef EIGEN2_SUPPORT
#include "src/Eigen2Support/SVD.h"
#endif
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_SVD_MODULE_H

View File

@@ -1,8 +1,6 @@
#ifndef EIGEN_SPARSE_MODULE_H
#define EIGEN_SPARSE_MODULE_H
namespace Eigen {
/** \defgroup Sparse_modules Sparse modules
*
* Meta-module including all related modules:
@@ -16,8 +14,6 @@ namespace Eigen {
* \endcode
*/
} // namespace Eigen
#include "SparseCore"
#include "OrderingMethods"
#include "SparseCholesky"

View File

@@ -5,8 +5,6 @@
#include "src/Core/util/DisableStupidWarnings.h"
namespace Eigen {
/** \ingroup Sparse_modules
* \defgroup SparseCholesky_Module SparseCholesky module
*
@@ -27,8 +25,6 @@ namespace Eigen {
#include "src/SparseCholesky/SimplicialCholesky.h"
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_SPARSECHOLESKY_MODULE_H

View File

@@ -11,8 +11,6 @@
#include <cstring>
#include <algorithm>
namespace Eigen {
/** \ingroup Sparse_modules
* \defgroup SparseCore_Module SparseCore module
*
@@ -28,9 +26,13 @@ namespace Eigen {
* This module depends on: Core.
*/
namespace Eigen {
/** The type used to identify a general sparse storage. */
struct Sparse {};
}
#include "src/SparseCore/SparseUtil.h"
#include "src/SparseCore/SparseMatrixBase.h"
#include "src/SparseCore/CompressedStorage.h"
@@ -44,6 +46,7 @@ struct Sparse {};
#include "src/SparseCore/SparseCwiseUnaryOp.h"
#include "src/SparseCore/SparseCwiseBinaryOp.h"
#include "src/SparseCore/SparseDot.h"
#include "src/SparseCore/SparsePermutation.h"
#include "src/SparseCore/SparseAssign.h"
#include "src/SparseCore/SparseRedux.h"
#include "src/SparseCore/SparseFuzzy.h"
@@ -57,8 +60,6 @@ struct Sparse {};
#include "src/SparseCore/TriangularSolver.h"
#include "src/SparseCore/SparseView.h"
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_SPARSECORE_MODULE_H

View File

@@ -4,24 +4,9 @@
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_STDDEQUE_MODULE_H
#define EIGEN_STDDEQUE_MODULE_H

View File

@@ -3,24 +3,9 @@
//
// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_STDLIST_MODULE_H
#define EIGEN_STDLIST_MODULE_H

View File

@@ -4,24 +4,9 @@
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_STDVECTOR_MODULE_H
#define EIGEN_STDVECTOR_MODULE_H

View File

@@ -16,7 +16,7 @@ typedef int int_t;
// slu_util.h defines a preprocessor token named EMPTY which is really polluting,
// so we remove it in favor of a SUPERLU_EMPTY token.
// If EMPTY was already, defined then we don't undef it.
// If EMPTY was already defined then we don't undef it.
#if defined(EIGEN_EMPTY_WAS_ALREADY_DEFINED)
# undef EIGEN_EMPTY_WAS_ALREADY_DEFINED
@@ -28,16 +28,24 @@ typedef int int_t;
namespace Eigen { struct SluMatrix; }
namespace Eigen {
/** \ingroup Support_modules
* \defgroup SuperLUSupport_Module SuperLUSupport module
*
* This module provides an interface to the <a href="http://crd-legacy.lbl.gov/~xiaoye/SuperLU/">SuperLU</a> library.
* It provides the following factorization class:
* - class SuperLU: a supernodal sequential LU factorization.
* - class SuperILU: a supernodal sequential incomplete LU factorization (to be used as a preconditioner for iterative methods).
*
* \warning When including this module, you have to use SUPERLU_EMPTY instead of EMPTY which is no longer defined because it is too polluting.
*
* \code
* #include <Eigen/SuperLUSupport>
* \endcode
*
* In order to use this module, the superlu headers must be accessible from the include paths, and your binary must be linked to the superlu library and its dependencies.
* The dependencies depend on how superlu has been compiled.
* For a cmake based project, you can use our FindSuperLU.cmake module to help you in this task.
*
*/
#include "src/misc/Solve.h"
@@ -46,8 +54,6 @@ namespace Eigen {
#include "src/SuperLUSupport/SuperLUSupport.h"
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_SUPERLUSUPPORT_MODULE_H

View File

@@ -9,17 +9,21 @@ extern "C" {
#include <umfpack.h>
}
namespace Eigen {
/** \ingroup Support_modules
* \defgroup UmfPackSupport_Module UmfPackSupport module
*
*
*
* This module provides an interface to the UmfPack library which is part of the <a href="http://www.cise.ufl.edu/research/sparse/SuiteSparse/">suitesparse</a> package.
* It provides the following factorization class:
* - class UmfPackLU: a multifrontal sequential LU factorization.
*
* \code
* #include <Eigen/UmfPackSupport>
* \endcode
*
* In order to use this module, the umfpack headers must be accessible from the include paths, and your binary must be linked to the umfpack library and its dependencies.
* The dependencies depend on how umfpack has been compiled.
* For a cmake based project, you can use our FindUmfPack.cmake module to help you in this task.
*
*/
#include "src/misc/Solve.h"
@@ -27,8 +31,6 @@ namespace Eigen {
#include "src/UmfPackSupport/UmfPackSupport.h"
} // namespace Eigen
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // EIGEN_UMFPACKSUPPORT_MODULE_H

View File

@@ -1,32 +1,20 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2009 Keir Mierle <mierle@gmail.com>
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2011 Timothy E. Holy <tim.holy@gmail.com >
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_LDLT_H
#define EIGEN_LDLT_H
namespace Eigen {
namespace internal {
template<typename MatrixType, int UpLo> struct LDLT_Traits;
}
@@ -38,6 +26,8 @@ template<typename MatrixType, int UpLo> struct LDLT_Traits;
* \brief Robust Cholesky decomposition of a matrix with pivoting
*
* \param MatrixType the type of the matrix of which to compute the LDL^T Cholesky decomposition
* \param UpLo the triangular part that will be used for the decompositon: Lower (default) or Upper.
* The other triangular part won't be read.
*
* Perform a robust Cholesky decomposition of a positive semidefinite or negative semidefinite
* matrix \f$ A \f$ such that \f$ A = P^TLDL^*P \f$, where P is a permutation matrix, L
@@ -48,14 +38,10 @@ template<typename MatrixType, int UpLo> struct LDLT_Traits;
* on D also stabilizes the computation.
*
* Remember that Cholesky decompositions are not rank-revealing. Also, do not use a Cholesky
* decomposition to determine whether a system of equations has a solution.
* decomposition to determine whether a system of equations has a solution.
*
* \sa MatrixBase::ldlt(), class LLT
*/
/* THIS PART OF THE DOX IS CURRENTLY DISABLED BECAUSE INACCURATE BECAUSE OF BUG IN THE DECOMPOSITION CODE
* Note that during the decomposition, only the upper triangular part of A is considered. Therefore,
* the strict lower part does not have to store correct values.
*/
template<typename _MatrixType, int _UpLo> class LDLT
{
public:
@@ -98,6 +84,11 @@ template<typename _MatrixType, int _UpLo> class LDLT
m_isInitialized(false)
{}
/** \brief Constructor with decomposition
*
* This calculates the decomposition for the input \a matrix.
* \sa LDLT(Index size)
*/
LDLT(const MatrixType& matrix)
: m_matrix(matrix.rows(), matrix.cols()),
m_transpositions(matrix.rows()),
@@ -107,6 +98,14 @@ template<typename _MatrixType, int _UpLo> class LDLT
compute(matrix);
}
/** Clear any existing decomposition
* \sa rankUpdate(w,sigma)
*/
void setZero()
{
m_isInitialized = false;
}
/** \returns a view of the upper triangular matrix U */
inline typename Traits::MatrixU matrixU() const
{
@@ -130,14 +129,14 @@ template<typename _MatrixType, int _UpLo> class LDLT
}
/** \returns the coefficients of the diagonal matrix D */
inline Diagonal<const MatrixType> vectorD(void) const
inline Diagonal<const MatrixType> vectorD() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return m_matrix.diagonal();
}
/** \returns true if the matrix is positive (semidefinite) */
inline bool isPositive(void) const
inline bool isPositive() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return m_sign == 1;
@@ -196,6 +195,9 @@ template<typename _MatrixType, int _UpLo> class LDLT
LDLT& compute(const MatrixType& matrix);
template <typename Derived>
LDLT& rankUpdate(const MatrixBase<Derived>& w,RealScalar alpha=1);
/** \returns the internal LDLT decomposition matrix
*
* TODO: document the storage layout
@@ -211,6 +213,17 @@ template<typename _MatrixType, int _UpLo> class LDLT
inline Index rows() const { return m_matrix.rows(); }
inline Index cols() const { return m_matrix.cols(); }
/** \brief Reports whether previous computation was successful.
*
* \returns \c Success if computation was succesful,
* \c NumericalIssue if the matrix.appears to be negative.
*/
ComputationInfo info() const
{
eigen_assert(m_isInitialized && "LDLT is not initialized.");
return Success;
}
protected:
/** \internal
@@ -249,7 +262,7 @@ template<> struct ldlt_inplace<Lower>
return true;
}
RealScalar cutoff = 0, biggest_in_corner;
RealScalar cutoff(0), biggest_in_corner;
for (Index k = 0; k < size; ++k)
{
@@ -317,6 +330,61 @@ template<> struct ldlt_inplace<Lower>
return true;
}
// Reference for the algorithm: Davis and Hager, "Multiple Rank
// Modifications of a Sparse Cholesky Factorization" (Algorithm 1)
// Trivial rearrangements of their computations (Timothy E. Holy)
// allow their algorithm to work for rank-1 updates even if the
// original matrix is not of full rank.
// Here only rank-1 updates are implemented, to reduce the
// requirement for intermediate storage and improve accuracy
template<typename MatrixType, typename WDerived>
static bool updateInPlace(MatrixType& mat, MatrixBase<WDerived>& w, typename MatrixType::RealScalar sigma=1)
{
using internal::isfinite;
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef typename MatrixType::Index Index;
const Index size = mat.rows();
eigen_assert(mat.cols() == size && w.size()==size);
RealScalar alpha = 1;
// Apply the update
for (Index j = 0; j < size; j++)
{
// Check for termination due to an original decomposition of low-rank
if (!(isfinite)(alpha))
break;
// Update the diagonal terms
RealScalar dj = real(mat.coeff(j,j));
Scalar wj = w.coeff(j);
RealScalar swj2 = sigma*abs2(wj);
RealScalar gamma = dj*alpha + swj2;
mat.coeffRef(j,j) += swj2/alpha;
alpha += swj2/dj;
// Update the terms of L
Index rs = size-j-1;
w.tail(rs) -= wj * mat.col(j).tail(rs);
if(gamma != 0)
mat.col(j).tail(rs) += (sigma*conj(wj)/gamma)*w.tail(rs);
}
return true;
}
template<typename MatrixType, typename TranspositionType, typename Workspace, typename WType>
static bool update(MatrixType& mat, const TranspositionType& transpositions, Workspace& tmp, const WType& w, typename MatrixType::RealScalar sigma=1)
{
// Apply the permutation to the input w
tmp = transpositions * w;
return ldlt_inplace<Lower>::updateInPlace(mat,tmp,sigma);
}
};
template<> struct ldlt_inplace<Upper>
@@ -327,22 +395,29 @@ template<> struct ldlt_inplace<Upper>
Transpose<MatrixType> matt(mat);
return ldlt_inplace<Lower>::unblocked(matt, transpositions, temp, sign);
}
template<typename MatrixType, typename TranspositionType, typename Workspace, typename WType>
static EIGEN_STRONG_INLINE bool update(MatrixType& mat, TranspositionType& transpositions, Workspace& tmp, WType& w, typename MatrixType::RealScalar sigma=1)
{
Transpose<MatrixType> matt(mat);
return ldlt_inplace<Lower>::update(matt, transpositions, tmp, w.conjugate(), sigma);
}
};
template<typename MatrixType> struct LDLT_Traits<MatrixType,Lower>
{
typedef TriangularView<MatrixType, UnitLower> MatrixL;
typedef TriangularView<typename MatrixType::AdjointReturnType, UnitUpper> MatrixU;
inline static MatrixL getL(const MatrixType& m) { return m; }
inline static MatrixU getU(const MatrixType& m) { return m.adjoint(); }
typedef const TriangularView<const MatrixType, UnitLower> MatrixL;
typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitUpper> MatrixU;
static inline MatrixL getL(const MatrixType& m) { return m; }
static inline MatrixU getU(const MatrixType& m) { return m.adjoint(); }
};
template<typename MatrixType> struct LDLT_Traits<MatrixType,Upper>
{
typedef TriangularView<typename MatrixType::AdjointReturnType, UnitLower> MatrixL;
typedef TriangularView<MatrixType, UnitUpper> MatrixU;
inline static MatrixL getL(const MatrixType& m) { return m.adjoint(); }
inline static MatrixU getU(const MatrixType& m) { return m; }
typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitLower> MatrixL;
typedef const TriangularView<const MatrixType, UnitUpper> MatrixU;
static inline MatrixL getL(const MatrixType& m) { return m.adjoint(); }
static inline MatrixU getU(const MatrixType& m) { return m; }
};
} // end namespace internal
@@ -367,6 +442,37 @@ LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::compute(const MatrixType& a)
return *this;
}
/** Update the LDLT decomposition: given A = L D L^T, efficiently compute the decomposition of A + sigma w w^T.
* \param w a vector to be incorporated into the decomposition.
* \param sigma a scalar, +1 for updates and -1 for "downdates," which correspond to removing previously-added column vectors. Optional; default value is +1.
* \sa setZero()
*/
template<typename MatrixType, int _UpLo>
template<typename Derived>
LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::rankUpdate(const MatrixBase<Derived>& w,typename NumTraits<typename MatrixType::Scalar>::Real sigma)
{
const Index size = w.rows();
if (m_isInitialized)
{
eigen_assert(m_matrix.rows()==size);
}
else
{
m_matrix.resize(size,size);
m_matrix.setZero();
m_transpositions.resize(size);
for (Index i = 0; i < size; i++)
m_transpositions.coeffRef(i) = i;
m_temporary.resize(size);
m_sign = sigma>=0 ? 1 : -1;
m_isInitialized = true;
}
internal::ldlt_inplace<UpLo>::update(m_matrix, m_transpositions, m_temporary, w, sigma);
return *this;
}
namespace internal {
template<typename _MatrixType, int _UpLo, typename Rhs>
struct solve_retval<LDLT<_MatrixType,_UpLo>, Rhs>
@@ -481,4 +587,6 @@ MatrixBase<Derived>::ldlt() const
return LDLT<PlainObject>(derived());
}
} // end namespace Eigen
#endif // EIGEN_LDLT_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_LLT_H
#define EIGEN_LLT_H
namespace Eigen {
namespace internal{
template<typename MatrixType, int UpLo> struct LLT_Traits;
}
@@ -36,6 +23,8 @@ template<typename MatrixType, int UpLo> struct LLT_Traits;
* \brief Standard Cholesky decomposition (LL^T) of a matrix and associated features
*
* \param MatrixType the type of the matrix of which we are computing the LL^T Cholesky decomposition
* \param UpLo the triangular part that will be used for the decompositon: Lower (default) or Upper.
* The other triangular part won't be read.
*
* This class performs a LL^T Cholesky decomposition of a symmetric, positive definite
* matrix A such that A = LL^* = U^*U, where L is lower triangular.
@@ -182,7 +171,7 @@ template<typename _MatrixType, int _UpLo> class LLT
inline Index cols() const { return m_matrix.cols(); }
template<typename VectorType>
void rankUpdate(const VectorType& vec);
LLT rankUpdate(const VectorType& vec, const RealScalar& sigma = 1);
protected:
/** \internal
@@ -196,16 +185,85 @@ template<typename _MatrixType, int _UpLo> class LLT
namespace internal {
template<int UpLo> struct llt_inplace;
template<typename Scalar, int UpLo> struct llt_inplace;
template<> struct llt_inplace<Lower>
template<typename MatrixType, typename VectorType>
static typename MatrixType::Index llt_rank_update_lower(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma)
{
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
typedef typename MatrixType::Index Index;
typedef typename MatrixType::ColXpr ColXpr;
typedef typename internal::remove_all<ColXpr>::type ColXprCleaned;
typedef typename ColXprCleaned::SegmentReturnType ColXprSegment;
typedef Matrix<Scalar,Dynamic,1> TempVectorType;
typedef typename TempVectorType::SegmentReturnType TempVecSegment;
int n = mat.cols();
eigen_assert(mat.rows()==n && vec.size()==n);
TempVectorType temp;
if(sigma>0)
{
// This version is based on Givens rotations.
// It is faster than the other one below, but only works for updates,
// i.e., for sigma > 0
temp = sqrt(sigma) * vec;
for(int i=0; i<n; ++i)
{
JacobiRotation<Scalar> g;
g.makeGivens(mat(i,i), -temp(i), &mat(i,i));
int rs = n-i-1;
if(rs>0)
{
ColXprSegment x(mat.col(i).tail(rs));
TempVecSegment y(temp.tail(rs));
apply_rotation_in_the_plane(x, y, g);
}
}
}
else
{
temp = vec;
RealScalar beta = 1;
for(int j=0; j<n; ++j)
{
RealScalar Ljj = real(mat.coeff(j,j));
RealScalar dj = abs2(Ljj);
Scalar wj = temp.coeff(j);
RealScalar swj2 = sigma*abs2(wj);
RealScalar gamma = dj*beta + swj2;
RealScalar x = dj + swj2/beta;
if (x<=RealScalar(0))
return j;
RealScalar nLjj = sqrt(x);
mat.coeffRef(j,j) = nLjj;
beta += swj2/dj;
// Update the terms of L
Index rs = n-j-1;
if(rs)
{
temp.tail(rs) -= (wj/Ljj) * mat.col(j).tail(rs);
if(gamma != 0)
mat.col(j).tail(rs) = (nLjj/Ljj) * mat.col(j).tail(rs) + (nLjj * sigma*conj(wj)/gamma)*temp.tail(rs);
}
}
}
return -1;
}
template<typename Scalar> struct llt_inplace<Scalar, Lower>
{
typedef typename NumTraits<Scalar>::Real RealScalar;
template<typename MatrixType>
static typename MatrixType::Index unblocked(MatrixType& mat)
{
typedef typename MatrixType::Index Index;
typedef typename MatrixType::Scalar Scalar;
typedef typename MatrixType::RealScalar RealScalar;
eigen_assert(mat.rows()==mat.cols());
const Index size = mat.rows();
@@ -262,75 +320,54 @@ template<> struct llt_inplace<Lower>
}
template<typename MatrixType, typename VectorType>
static void rankUpdate(MatrixType& mat, const VectorType& vec)
static typename MatrixType::Index rankUpdate(MatrixType& mat, const VectorType& vec, const RealScalar& sigma)
{
typedef typename MatrixType::ColXpr ColXpr;
typedef typename internal::remove_all<ColXpr>::type ColXprCleaned;
typedef typename ColXprCleaned::SegmentReturnType ColXprSegment;
typedef typename MatrixType::Scalar Scalar;
typedef Matrix<Scalar,Dynamic,1> TempVectorType;
typedef typename TempVectorType::SegmentReturnType TempVecSegment;
int n = mat.cols();
eigen_assert(mat.rows()==n && vec.size()==n);
TempVectorType temp(vec);
for(int i=0; i<n; ++i)
{
JacobiRotation<Scalar> g;
g.makeGivens(mat(i,i), -temp(i), &mat(i,i));
int rs = n-i-1;
if(rs>0)
{
ColXprSegment x(mat.col(i).tail(rs));
TempVecSegment y(temp.tail(rs));
apply_rotation_in_the_plane(x, y, g);
}
}
return Eigen::internal::llt_rank_update_lower(mat, vec, sigma);
}
};
template<> struct llt_inplace<Upper>
template<typename Scalar> struct llt_inplace<Scalar, Upper>
{
typedef typename NumTraits<Scalar>::Real RealScalar;
template<typename MatrixType>
static EIGEN_STRONG_INLINE typename MatrixType::Index unblocked(MatrixType& mat)
{
Transpose<MatrixType> matt(mat);
return llt_inplace<Lower>::unblocked(matt);
return llt_inplace<Scalar, Lower>::unblocked(matt);
}
template<typename MatrixType>
static EIGEN_STRONG_INLINE typename MatrixType::Index blocked(MatrixType& mat)
{
Transpose<MatrixType> matt(mat);
return llt_inplace<Lower>::blocked(matt);
return llt_inplace<Scalar, Lower>::blocked(matt);
}
template<typename MatrixType, typename VectorType>
static void rankUpdate(MatrixType& mat, const VectorType& vec)
static typename MatrixType::Index rankUpdate(MatrixType& mat, const VectorType& vec, const RealScalar& sigma)
{
Transpose<MatrixType> matt(mat);
return llt_inplace<Lower>::rankUpdate(matt, vec.conjugate());
return llt_inplace<Scalar, Lower>::rankUpdate(matt, vec.conjugate(), sigma);
}
};
template<typename MatrixType> struct LLT_Traits<MatrixType,Lower>
{
typedef TriangularView<MatrixType, Lower> MatrixL;
typedef TriangularView<typename MatrixType::AdjointReturnType, Upper> MatrixU;
inline static MatrixL getL(const MatrixType& m) { return m; }
inline static MatrixU getU(const MatrixType& m) { return m.adjoint(); }
typedef const TriangularView<const MatrixType, Lower> MatrixL;
typedef const TriangularView<const typename MatrixType::AdjointReturnType, Upper> MatrixU;
static inline MatrixL getL(const MatrixType& m) { return m; }
static inline MatrixU getU(const MatrixType& m) { return m.adjoint(); }
static bool inplace_decomposition(MatrixType& m)
{ return llt_inplace<Lower>::blocked(m)==-1; }
{ return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
};
template<typename MatrixType> struct LLT_Traits<MatrixType,Upper>
{
typedef TriangularView<typename MatrixType::AdjointReturnType, Lower> MatrixL;
typedef TriangularView<MatrixType, Upper> MatrixU;
inline static MatrixL getL(const MatrixType& m) { return m.adjoint(); }
inline static MatrixU getU(const MatrixType& m) { return m; }
typedef const TriangularView<const typename MatrixType::AdjointReturnType, Lower> MatrixL;
typedef const TriangularView<const MatrixType, Upper> MatrixU;
static inline MatrixL getL(const MatrixType& m) { return m.adjoint(); }
static inline MatrixU getU(const MatrixType& m) { return m; }
static bool inplace_decomposition(MatrixType& m)
{ return llt_inplace<Upper>::blocked(m)==-1; }
{ return llt_inplace<typename MatrixType::Scalar, Upper>::blocked(m)==-1; }
};
} // end namespace internal
@@ -345,7 +382,7 @@ template<typename MatrixType> struct LLT_Traits<MatrixType,Upper>
template<typename MatrixType, int _UpLo>
LLT<MatrixType,_UpLo>& LLT<MatrixType,_UpLo>::compute(const MatrixType& a)
{
assert(a.rows()==a.cols());
eigen_assert(a.rows()==a.cols());
const Index size = a.rows();
m_matrix.resize(size, size);
m_matrix = a;
@@ -357,18 +394,24 @@ LLT<MatrixType,_UpLo>& LLT<MatrixType,_UpLo>::compute(const MatrixType& a)
return *this;
}
/** Performs a rank one update of the current decomposition.
/** Performs a rank one update (or dowdate) of the current decomposition.
* If A = LL^* before the rank one update,
* then after it we have LL^* = A + vv^* where \a v must be a vector
* then after it we have LL^* = A + sigma * v v^* where \a v must be a vector
* of same dimension.
*
*/
template<typename MatrixType, int _UpLo>
template<typename _MatrixType, int _UpLo>
template<typename VectorType>
void LLT<MatrixType,_UpLo>::rankUpdate(const VectorType& v)
LLT<_MatrixType,_UpLo> LLT<_MatrixType,_UpLo>::rankUpdate(const VectorType& v, const RealScalar& sigma)
{
EIGEN_STATIC_ASSERT_VECTOR_ONLY(VectorType);
internal::llt_inplace<UpLo>::rankUpdate(m_matrix,v);
eigen_assert(v.size()==m_matrix.cols());
eigen_assert(m_isInitialized);
if(internal::llt_inplace<typename MatrixType::Scalar, UpLo>::rankUpdate(m_matrix,v,sigma)>=0)
m_info = NumericalIssue;
else
m_info = Success;
return *this;
}
namespace internal {
@@ -440,5 +483,6 @@ SelfAdjointView<MatrixType, UpLo>::llt() const
return LLT<PlainObject,UpLo>(m_matrix);
}
#endif // EIGEN_LLT_H
} // end namespace Eigen
#endif // EIGEN_LLT_H

View File

@@ -0,0 +1,102 @@
/*
Copyright (c) 2011, Intel Corporation. All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name of Intel Corporation nor the names of its contributors may
be used to endorse or promote products derived from this software without
specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
********************************************************************************
* Content : Eigen bindings to Intel(R) MKL
* LLt decomposition based on LAPACKE_?potrf function.
********************************************************************************
*/
#ifndef EIGEN_LLT_MKL_H
#define EIGEN_LLT_MKL_H
#include "Eigen/src/Core/util/MKL_support.h"
#include <iostream>
namespace Eigen {
namespace internal {
template<typename Scalar> struct mkl_llt;
#define EIGEN_MKL_LLT(EIGTYPE, MKLTYPE, MKLPREFIX) \
template<> struct mkl_llt<EIGTYPE> \
{ \
template<typename MatrixType> \
static inline typename MatrixType::Index potrf(MatrixType& m, char uplo) \
{ \
lapack_int matrix_order; \
lapack_int size, lda, info, StorageOrder; \
EIGTYPE* a; \
eigen_assert(m.rows()==m.cols()); \
/* Set up parameters for ?potrf */ \
size = m.rows(); \
StorageOrder = MatrixType::Flags&RowMajorBit?RowMajor:ColMajor; \
matrix_order = StorageOrder==RowMajor ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR; \
a = &(m.coeffRef(0,0)); \
lda = m.outerStride(); \
\
info = LAPACKE_##MKLPREFIX##potrf( matrix_order, uplo, size, (MKLTYPE*)a, lda ); \
info = (info==0) ? Success : NumericalIssue; \
return info; \
} \
}; \
template<> struct llt_inplace<EIGTYPE, Lower> \
{ \
template<typename MatrixType> \
static typename MatrixType::Index blocked(MatrixType& m) \
{ \
return mkl_llt<EIGTYPE>::potrf(m, 'L'); \
} \
template<typename MatrixType, typename VectorType> \
static typename MatrixType::Index rankUpdate(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma) \
{ return Eigen::internal::llt_rank_update_lower(mat, vec, sigma); } \
}; \
template<> struct llt_inplace<EIGTYPE, Upper> \
{ \
template<typename MatrixType> \
static typename MatrixType::Index blocked(MatrixType& m) \
{ \
return mkl_llt<EIGTYPE>::potrf(m, 'U'); \
} \
template<typename MatrixType, typename VectorType> \
static typename MatrixType::Index rankUpdate(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma) \
{ \
Transpose<MatrixType> matt(mat); \
return llt_inplace<EIGTYPE, Lower>::rankUpdate(matt, vec.conjugate(), sigma); \
} \
};
EIGEN_MKL_LLT(double, double, d)
EIGEN_MKL_LLT(float, float, s)
EIGEN_MKL_LLT(dcomplex, MKL_Complex16, z)
EIGEN_MKL_LLT(scomplex, MKL_Complex8, c)
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_LLT_MKL_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CHOLMODSUPPORT_H
#define EIGEN_CHOLMODSUPPORT_H
namespace Eigen {
namespace internal {
template<typename Scalar, typename CholmodType>
@@ -73,7 +60,16 @@ cholmod_sparse viewAsCholmod(SparseMatrix<_Scalar,_Options,_Index>& mat)
res.i = mat.innerIndexPtr();
res.x = mat.valuePtr();
res.sorted = 1;
res.packed = 1;
if(mat.isCompressed())
{
res.packed = 1;
}
else
{
res.packed = 0;
res.nz = mat.innerNonZeroPtr();
}
res.dtype = 0;
res.stype = -1;
@@ -149,22 +145,14 @@ enum CholmodMode {
CholmodAuto, CholmodSimplicialLLt, CholmodSupernodalLLt, CholmodLDLt
};
/** \ingroup CholmodSupport_Module
* \class CholmodDecomposition
* \brief A Cholesky factorization and solver based on Cholmod
*
* This class allows to solve for A.X = B sparse linear problems via a LL^T or LDL^T Cholesky factorization
* using the Cholmod library. The sparse matrix A must be selfajoint and positive definite. The vectors or matrices
* X and B can be either dense or sparse.
*
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
* or Upper. Default is Lower.
*
* \sa \ref TutorialSparseDirectSolvers
* \class CholmodBase
* \brief The base class for the direct Cholesky factorization of Cholmod
* \sa class CholmodSupernodalLLT, class CholmodSimplicialLDLT, class CholmodSimplicialLLT
*/
template<typename _MatrixType, int _UpLo = Lower>
class CholmodDecomposition
template<typename _MatrixType, int _UpLo, typename Derived>
class CholmodBase : internal::noncopyable
{
public:
typedef _MatrixType MatrixType;
@@ -176,21 +164,20 @@ class CholmodDecomposition
public:
CholmodDecomposition()
CholmodBase()
: m_cholmodFactor(0), m_info(Success), m_isInitialized(false)
{
cholmod_start(&m_cholmod);
setMode(CholmodLDLt);
}
CholmodDecomposition(const MatrixType& matrix)
CholmodBase(const MatrixType& matrix)
: m_cholmodFactor(0), m_info(Success), m_isInitialized(false)
{
cholmod_start(&m_cholmod);
compute(matrix);
}
~CholmodDecomposition()
~CholmodBase()
{
if(m_cholmodFactor)
cholmod_free_factor(&m_cholmodFactor, &m_cholmod);
@@ -200,31 +187,8 @@ class CholmodDecomposition
inline Index cols() const { return m_cholmodFactor->n; }
inline Index rows() const { return m_cholmodFactor->n; }
void setMode(CholmodMode mode)
{
switch(mode)
{
case CholmodAuto:
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_AUTO;
break;
case CholmodSimplicialLLt:
m_cholmod.final_asis = 0;
m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
m_cholmod.final_ll = 1;
break;
case CholmodSupernodalLLt:
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
break;
case CholmodLDLt:
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
break;
default:
break;
}
}
Derived& derived() { return *static_cast<Derived*>(this); }
const Derived& derived() const { return *static_cast<const Derived*>(this); }
/** \brief Reports whether previous computation was successful.
*
@@ -238,10 +202,11 @@ class CholmodDecomposition
}
/** Computes the sparse Cholesky decomposition of \a matrix */
void compute(const MatrixType& matrix)
Derived& compute(const MatrixType& matrix)
{
analyzePattern(matrix);
factorize(matrix);
return derived();
}
/** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
@@ -249,13 +214,13 @@ class CholmodDecomposition
* \sa compute()
*/
template<typename Rhs>
inline const internal::solve_retval<CholmodDecomposition, Rhs>
inline const internal::solve_retval<CholmodBase, Rhs>
solve(const MatrixBase<Rhs>& b) const
{
eigen_assert(m_isInitialized && "LLT is not initialized.");
eigen_assert(rows()==b.rows()
&& "CholmodDecomposition::solve(): invalid number of rows of the right hand side matrix b");
return internal::solve_retval<CholmodDecomposition, Rhs>(*this, b.derived());
return internal::solve_retval<CholmodBase, Rhs>(*this, b.derived());
}
/** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
@@ -263,13 +228,13 @@ class CholmodDecomposition
* \sa compute()
*/
template<typename Rhs>
inline const internal::sparse_solve_retval<CholmodDecomposition, Rhs>
inline const internal::sparse_solve_retval<CholmodBase, Rhs>
solve(const SparseMatrixBase<Rhs>& b) const
{
eigen_assert(m_isInitialized && "LLT is not initialized.");
eigen_assert(rows()==b.rows()
&& "CholmodDecomposition::solve(): invalid number of rows of the right hand side matrix b");
return internal::sparse_solve_retval<CholmodDecomposition, Rhs>(*this, b.derived());
return internal::sparse_solve_retval<CholmodBase, Rhs>(*this, b.derived());
}
/** Performs a symbolic decomposition on the sparcity of \a matrix.
@@ -359,7 +324,7 @@ class CholmodDecomposition
template<typename Stream>
void dumpMemory(Stream& s)
{}
protected:
mutable cholmod_common m_cholmod;
cholmod_factor* m_cholmodFactor;
@@ -369,13 +334,223 @@ class CholmodDecomposition
int m_analysisIsOk;
};
/** \ingroup CholmodSupport_Module
* \class CholmodSimplicialLLT
* \brief A simplicial direct Cholesky (LLT) factorization and solver based on Cholmod
*
* This class allows to solve for A.X = B sparse linear problems via a simplicial LL^T Cholesky factorization
* using the Cholmod library.
* This simplicial variant is equivalent to Eigen's built-in SimplicialLLT class. Thefore, it has little practical interest.
* The sparse matrix A must be selfajoint and positive definite. The vectors or matrices
* X and B can be either dense or sparse.
*
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
* or Upper. Default is Lower.
*
* This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
*
* \sa \ref TutorialSparseDirectSolvers, class CholmodSupernodalLLT, class SimplicialLLT
*/
template<typename _MatrixType, int _UpLo = Lower>
class CholmodSimplicialLLT : public CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLLT<_MatrixType, _UpLo> >
{
typedef CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLLT> Base;
using Base::m_cholmod;
public:
typedef _MatrixType MatrixType;
CholmodSimplicialLLT() : Base() { init(); }
CholmodSimplicialLLT(const MatrixType& matrix) : Base()
{
init();
compute(matrix);
}
~CholmodSimplicialLLT() {}
protected:
void init()
{
m_cholmod.final_asis = 0;
m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
m_cholmod.final_ll = 1;
}
};
/** \ingroup CholmodSupport_Module
* \class CholmodSimplicialLDLT
* \brief A simplicial direct Cholesky (LDLT) factorization and solver based on Cholmod
*
* This class allows to solve for A.X = B sparse linear problems via a simplicial LDL^T Cholesky factorization
* using the Cholmod library.
* This simplicial variant is equivalent to Eigen's built-in SimplicialLDLT class. Thefore, it has little practical interest.
* The sparse matrix A must be selfajoint and positive definite. The vectors or matrices
* X and B can be either dense or sparse.
*
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
* or Upper. Default is Lower.
*
* This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
*
* \sa \ref TutorialSparseDirectSolvers, class CholmodSupernodalLLT, class SimplicialLDLT
*/
template<typename _MatrixType, int _UpLo = Lower>
class CholmodSimplicialLDLT : public CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLDLT<_MatrixType, _UpLo> >
{
typedef CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLDLT> Base;
using Base::m_cholmod;
public:
typedef _MatrixType MatrixType;
CholmodSimplicialLDLT() : Base() { init(); }
CholmodSimplicialLDLT(const MatrixType& matrix) : Base()
{
init();
compute(matrix);
}
~CholmodSimplicialLDLT() {}
protected:
void init()
{
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
}
};
/** \ingroup CholmodSupport_Module
* \class CholmodSupernodalLLT
* \brief A supernodal Cholesky (LLT) factorization and solver based on Cholmod
*
* This class allows to solve for A.X = B sparse linear problems via a supernodal LL^T Cholesky factorization
* using the Cholmod library.
* This supernodal variant performs best on dense enough problems, e.g., 3D FEM, or very high order 2D FEM.
* The sparse matrix A must be selfajoint and positive definite. The vectors or matrices
* X and B can be either dense or sparse.
*
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
* or Upper. Default is Lower.
*
* This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
*
* \sa \ref TutorialSparseDirectSolvers
*/
template<typename _MatrixType, int _UpLo = Lower>
class CholmodSupernodalLLT : public CholmodBase<_MatrixType, _UpLo, CholmodSupernodalLLT<_MatrixType, _UpLo> >
{
typedef CholmodBase<_MatrixType, _UpLo, CholmodSupernodalLLT> Base;
using Base::m_cholmod;
public:
typedef _MatrixType MatrixType;
CholmodSupernodalLLT() : Base() { init(); }
CholmodSupernodalLLT(const MatrixType& matrix) : Base()
{
init();
compute(matrix);
}
~CholmodSupernodalLLT() {}
protected:
void init()
{
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
}
};
/** \ingroup CholmodSupport_Module
* \class CholmodDecomposition
* \brief A general Cholesky factorization and solver based on Cholmod
*
* This class allows to solve for A.X = B sparse linear problems via a LL^T or LDL^T Cholesky factorization
* using the Cholmod library. The sparse matrix A must be selfajoint and positive definite. The vectors or matrices
* X and B can be either dense or sparse.
*
* This variant permits to change the underlying Cholesky method at runtime.
* On the other hand, it does not provide access to the result of the factorization.
* The default is to let Cholmod automatically choose between a simplicial and supernodal factorization.
*
* \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
* \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
* or Upper. Default is Lower.
*
* This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
*
* \sa \ref TutorialSparseDirectSolvers
*/
template<typename _MatrixType, int _UpLo = Lower>
class CholmodDecomposition : public CholmodBase<_MatrixType, _UpLo, CholmodDecomposition<_MatrixType, _UpLo> >
{
typedef CholmodBase<_MatrixType, _UpLo, CholmodDecomposition> Base;
using Base::m_cholmod;
public:
typedef _MatrixType MatrixType;
CholmodDecomposition() : Base() { init(); }
CholmodDecomposition(const MatrixType& matrix) : Base()
{
init();
compute(matrix);
}
~CholmodDecomposition() {}
void setMode(CholmodMode mode)
{
switch(mode)
{
case CholmodAuto:
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_AUTO;
break;
case CholmodSimplicialLLt:
m_cholmod.final_asis = 0;
m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
m_cholmod.final_ll = 1;
break;
case CholmodSupernodalLLt:
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
break;
case CholmodLDLt:
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
break;
default:
break;
}
}
protected:
void init()
{
m_cholmod.final_asis = 1;
m_cholmod.supernodal = CHOLMOD_AUTO;
}
};
namespace internal {
template<typename _MatrixType, int _UpLo, typename Rhs>
struct solve_retval<CholmodDecomposition<_MatrixType,_UpLo>, Rhs>
: solve_retval_base<CholmodDecomposition<_MatrixType,_UpLo>, Rhs>
template<typename _MatrixType, int _UpLo, typename Derived, typename Rhs>
struct solve_retval<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
: solve_retval_base<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
{
typedef CholmodDecomposition<_MatrixType,_UpLo> Dec;
typedef CholmodBase<_MatrixType,_UpLo,Derived> Dec;
EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
template<typename Dest> void evalTo(Dest& dst) const
@@ -384,11 +559,11 @@ struct solve_retval<CholmodDecomposition<_MatrixType,_UpLo>, Rhs>
}
};
template<typename _MatrixType, int _UpLo, typename Rhs>
struct sparse_solve_retval<CholmodDecomposition<_MatrixType,_UpLo>, Rhs>
: sparse_solve_retval_base<CholmodDecomposition<_MatrixType,_UpLo>, Rhs>
template<typename _MatrixType, int _UpLo, typename Derived, typename Rhs>
struct sparse_solve_retval<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
: sparse_solve_retval_base<CholmodBase<_MatrixType,_UpLo,Derived>, Rhs>
{
typedef CholmodDecomposition<_MatrixType,_UpLo> Dec;
typedef CholmodBase<_MatrixType,_UpLo,Derived> Dec;
EIGEN_MAKE_SPARSE_SOLVE_HELPERS(Dec,Rhs)
template<typename Dest> void evalTo(Dest& dst) const
@@ -397,6 +572,8 @@ struct sparse_solve_retval<CholmodDecomposition<_MatrixType,_UpLo>, Rhs>
}
};
}
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_CHOLMODSUPPORT_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ARRAY_H
#define EIGEN_ARRAY_H
namespace Eigen {
/** \class Array
* \ingroup Core_Module
*
@@ -316,5 +303,6 @@ EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(d) \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cf) \
EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cd)
} // end namespace Eigen
#endif // EIGEN_ARRAY_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ARRAYBASE_H
#define EIGEN_ARRAYBASE_H
namespace Eigen {
template<typename ExpressionType> class MatrixWrapper;
/** \class ArrayBase
@@ -159,7 +146,7 @@ template<typename Derived> class ArrayBase
/** \returns an \link MatrixBase Matrix \endlink expression of this array
* \sa MatrixBase::array() */
MatrixWrapper<Derived> matrix() { return derived(); }
const MatrixWrapper<Derived> matrix() const { return derived(); }
const MatrixWrapper<const Derived> matrix() const { return derived(); }
// template<typename Dest>
// inline void evalTo(Dest& dst) const { dst = matrix(); }
@@ -174,10 +161,10 @@ template<typename Derived> class ArrayBase
protected:
// mixing arrays and matrices is not legal
template<typename OtherDerived> Derived& operator+=(const MatrixBase<OtherDerived>& )
{EIGEN_STATIC_ASSERT(sizeof(typename OtherDerived::Scalar)==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES);}
{EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
// mixing arrays and matrices is not legal
template<typename OtherDerived> Derived& operator-=(const MatrixBase<OtherDerived>& )
{EIGEN_STATIC_ASSERT(sizeof(typename OtherDerived::Scalar)==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES);}
{EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
};
/** replaces \c *this by \c *this - \a other.
@@ -236,4 +223,6 @@ ArrayBase<Derived>::operator/=(const ArrayBase<OtherDerived>& other)
return derived();
}
} // end namespace Eigen
#endif // EIGEN_ARRAYBASE_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ARRAYWRAPPER_H
#define EIGEN_ARRAYWRAPPER_H
namespace Eigen {
/** \class ArrayWrapper
* \ingroup Core_Module
*
@@ -61,7 +48,7 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
typedef typename internal::nested<ExpressionType>::type NestedExpressionType;
inline ArrayWrapper(const ExpressionType& matrix) : m_expression(matrix) {}
inline ArrayWrapper(ExpressionType& matrix) : m_expression(matrix) {}
inline Index rows() const { return m_expression.rows(); }
inline Index cols() const { return m_expression.cols(); }
@@ -71,7 +58,7 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
inline const Scalar* data() const { return m_expression.data(); }
inline const CoeffReturnType coeff(Index row, Index col) const
inline CoeffReturnType coeff(Index row, Index col) const
{
return m_expression.coeff(row, col);
}
@@ -86,7 +73,7 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
return m_expression.const_cast_derived().coeffRef(row, col);
}
inline const CoeffReturnType coeff(Index index) const
inline CoeffReturnType coeff(Index index) const
{
return m_expression.coeff(index);
}
@@ -134,8 +121,15 @@ class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
return m_expression;
}
/** Forwards the resizing request to the nested expression
* \sa DenseBase::resize(Index) */
void resize(Index newSize) { m_expression.const_cast_derived().resize(newSize); }
/** Forwards the resizing request to the nested expression
* \sa DenseBase::resize(Index,Index)*/
void resize(Index nbRows, Index nbCols) { m_expression.const_cast_derived().resize(nbRows,nbCols); }
protected:
const NestedExpressionType m_expression;
NestedExpressionType m_expression;
};
/** \class MatrixWrapper
@@ -174,7 +168,7 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
typedef typename internal::nested<ExpressionType>::type NestedExpressionType;
inline MatrixWrapper(const ExpressionType& matrix) : m_expression(matrix) {}
inline MatrixWrapper(ExpressionType& matrix) : m_expression(matrix) {}
inline Index rows() const { return m_expression.rows(); }
inline Index cols() const { return m_expression.cols(); }
@@ -184,7 +178,7 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
inline const Scalar* data() const { return m_expression.data(); }
inline const CoeffReturnType coeff(Index row, Index col) const
inline CoeffReturnType coeff(Index row, Index col) const
{
return m_expression.coeff(row, col);
}
@@ -199,7 +193,7 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
return m_expression.derived().coeffRef(row, col);
}
inline const CoeffReturnType coeff(Index index) const
inline CoeffReturnType coeff(Index index) const
{
return m_expression.coeff(index);
}
@@ -244,8 +238,17 @@ class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
return m_expression;
}
/** Forwards the resizing request to the nested expression
* \sa DenseBase::resize(Index) */
void resize(Index newSize) { m_expression.const_cast_derived().resize(newSize); }
/** Forwards the resizing request to the nested expression
* \sa DenseBase::resize(Index,Index)*/
void resize(Index nbRows, Index nbCols) { m_expression.const_cast_derived().resize(nbRows,nbCols); }
protected:
const NestedExpressionType m_expression;
NestedExpressionType m_expression;
};
} // end namespace Eigen
#endif // EIGEN_ARRAYWRAPPER_H

View File

@@ -5,28 +5,15 @@
// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ASSIGN_H
#define EIGEN_ASSIGN_H
namespace Eigen {
namespace internal {
/***************************************************************************
@@ -152,7 +139,7 @@ struct assign_DefaultTraversal_CompleteUnrolling
inner = Index % Derived1::InnerSizeAtCompileTime
};
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
{
dst.copyCoeffByOuterInner(outer, inner, src);
assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src);
@@ -162,13 +149,13 @@ struct assign_DefaultTraversal_CompleteUnrolling
template<typename Derived1, typename Derived2, int Stop>
struct assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &) {}
static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &) {}
};
template<typename Derived1, typename Derived2, int Index, int Stop>
struct assign_DefaultTraversal_InnerUnrolling
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src, int outer)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src, int outer)
{
dst.copyCoeffByOuterInner(outer, Index, src);
assign_DefaultTraversal_InnerUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src, outer);
@@ -178,7 +165,7 @@ struct assign_DefaultTraversal_InnerUnrolling
template<typename Derived1, typename Derived2, int Stop>
struct assign_DefaultTraversal_InnerUnrolling<Derived1, Derived2, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &, int) {}
static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &, int) {}
};
/***********************
@@ -188,7 +175,7 @@ struct assign_DefaultTraversal_InnerUnrolling<Derived1, Derived2, Stop, Stop>
template<typename Derived1, typename Derived2, int Index, int Stop>
struct assign_LinearTraversal_CompleteUnrolling
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
{
dst.copyCoeff(Index, src);
assign_LinearTraversal_CompleteUnrolling<Derived1, Derived2, Index+1, Stop>::run(dst, src);
@@ -198,7 +185,7 @@ struct assign_LinearTraversal_CompleteUnrolling
template<typename Derived1, typename Derived2, int Stop>
struct assign_LinearTraversal_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &) {}
static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &) {}
};
/**************************
@@ -214,7 +201,7 @@ struct assign_innervec_CompleteUnrolling
JointAlignment = assign_traits<Derived1,Derived2>::JointAlignment
};
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
{
dst.template copyPacketByOuterInner<Derived2, Aligned, JointAlignment>(outer, inner, src);
assign_innervec_CompleteUnrolling<Derived1, Derived2,
@@ -225,13 +212,13 @@ struct assign_innervec_CompleteUnrolling
template<typename Derived1, typename Derived2, int Stop>
struct assign_innervec_CompleteUnrolling<Derived1, Derived2, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &) {}
static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &) {}
};
template<typename Derived1, typename Derived2, int Index, int Stop>
struct assign_innervec_InnerUnrolling
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src, int outer)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src, int outer)
{
dst.template copyPacketByOuterInner<Derived2, Aligned, Aligned>(outer, Index, src);
assign_innervec_InnerUnrolling<Derived1, Derived2,
@@ -242,7 +229,7 @@ struct assign_innervec_InnerUnrolling
template<typename Derived1, typename Derived2, int Stop>
struct assign_innervec_InnerUnrolling<Derived1, Derived2, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(Derived1 &, const Derived2 &, int) {}
static EIGEN_STRONG_INLINE void run(Derived1 &, const Derived2 &, int) {}
};
/***************************************************************************
@@ -262,14 +249,14 @@ struct assign_impl;
template<typename Derived1, typename Derived2, int Unrolling, int Version>
struct assign_impl<Derived1, Derived2, InvalidTraversal, Unrolling, Version>
{
inline static void run(Derived1 &, const Derived2 &) { }
static inline void run(Derived1 &, const Derived2 &) { }
};
template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, DefaultTraversal, NoUnrolling, Version>
{
typedef typename Derived1::Index Index;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
const Index innerSize = dst.innerSize();
const Index outerSize = dst.outerSize();
@@ -282,7 +269,7 @@ struct assign_impl<Derived1, Derived2, DefaultTraversal, NoUnrolling, Version>
template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, DefaultTraversal, CompleteUnrolling, Version>
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
{
assign_DefaultTraversal_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
::run(dst, src);
@@ -293,7 +280,7 @@ template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, DefaultTraversal, InnerUnrolling, Version>
{
typedef typename Derived1::Index Index;
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
{
const Index outerSize = dst.outerSize();
for(Index outer = 0; outer < outerSize; ++outer)
@@ -310,7 +297,7 @@ template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, LinearTraversal, NoUnrolling, Version>
{
typedef typename Derived1::Index Index;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
const Index size = dst.size();
for(Index i = 0; i < size; ++i)
@@ -321,7 +308,7 @@ struct assign_impl<Derived1, Derived2, LinearTraversal, NoUnrolling, Version>
template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, LinearTraversal, CompleteUnrolling, Version>
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
{
assign_LinearTraversal_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
::run(dst, src);
@@ -336,7 +323,7 @@ template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, NoUnrolling, Version>
{
typedef typename Derived1::Index Index;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
const Index innerSize = dst.innerSize();
const Index outerSize = dst.outerSize();
@@ -350,7 +337,7 @@ struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, NoUnrolling, Ve
template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, CompleteUnrolling, Version>
{
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
{
assign_innervec_CompleteUnrolling<Derived1, Derived2, 0, Derived1::SizeAtCompileTime>
::run(dst, src);
@@ -361,7 +348,7 @@ template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, InnerVectorizedTraversal, InnerUnrolling, Version>
{
typedef typename Derived1::Index Index;
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
{
const Index outerSize = dst.outerSize();
for(Index outer = 0; outer < outerSize; ++outer)
@@ -403,7 +390,7 @@ template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, LinearVectorizedTraversal, NoUnrolling, Version>
{
typedef typename Derived1::Index Index;
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
{
const Index size = dst.size();
typedef packet_traits<typename Derived1::Scalar> PacketTraits;
@@ -413,7 +400,7 @@ struct assign_impl<Derived1, Derived2, LinearVectorizedTraversal, NoUnrolling, V
srcAlignment = assign_traits<Derived1,Derived2>::JointAlignment
};
const Index alignedStart = assign_traits<Derived1,Derived2>::DstIsAligned ? 0
: first_aligned(&dst.coeffRef(0), size);
: internal::first_aligned(&dst.coeffRef(0), size);
const Index alignedEnd = alignedStart + ((size-alignedStart)/packetSize)*packetSize;
unaligned_assign_impl<assign_traits<Derived1,Derived2>::DstIsAligned!=0>::run(src,dst,0,alignedStart);
@@ -431,7 +418,7 @@ template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, LinearVectorizedTraversal, CompleteUnrolling, Version>
{
typedef typename Derived1::Index Index;
EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
static EIGEN_STRONG_INLINE void run(Derived1 &dst, const Derived2 &src)
{
enum { size = Derived1::SizeAtCompileTime,
packetSize = packet_traits<typename Derived1::Scalar>::size,
@@ -450,7 +437,7 @@ template<typename Derived1, typename Derived2, int Version>
struct assign_impl<Derived1, Derived2, SliceVectorizedTraversal, NoUnrolling, Version>
{
typedef typename Derived1::Index Index;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
typedef packet_traits<typename Derived1::Scalar> PacketTraits;
enum {
@@ -464,7 +451,7 @@ struct assign_impl<Derived1, Derived2, SliceVectorizedTraversal, NoUnrolling, Ve
const Index outerSize = dst.outerSize();
const Index alignedStep = alignable ? (packetSize - dst.outerStride() % packetSize) & packetAlignedMask : 0;
Index alignedStart = ((!alignable) || assign_traits<Derived1,Derived2>::DstIsAligned) ? 0
: first_aligned(&dst.coeffRef(0,0), innerSize);
: internal::first_aligned(&dst.coeffRef(0,0), innerSize);
for(Index outer = 0; outer < outerSize; ++outer)
{
@@ -532,19 +519,19 @@ struct assign_selector;
template<typename Derived, typename OtherDerived>
struct assign_selector<Derived,OtherDerived,false,false> {
EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.derived()); }
static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.derived()); }
};
template<typename Derived, typename OtherDerived>
struct assign_selector<Derived,OtherDerived,true,false> {
EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.eval()); }
static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.eval()); }
};
template<typename Derived, typename OtherDerived>
struct assign_selector<Derived,OtherDerived,false,true> {
EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose()); }
static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose()); }
};
template<typename Derived, typename OtherDerived>
struct assign_selector<Derived,OtherDerived,true,true> {
EIGEN_STRONG_INLINE static Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose().eval()); }
static EIGEN_STRONG_INLINE Derived& run(Derived& dst, const OtherDerived& other) { return dst.lazyAssign(other.transpose().eval()); }
};
} // end namespace internal
@@ -591,4 +578,6 @@ EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const ReturnByValue<
return derived();
}
} // end namespace Eigen
#endif // EIGEN_ASSIGN_H

View File

@@ -1,682 +0,0 @@
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2011 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2011 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2011 Jitse Niesen <jitse@maths.leeds.ac.uk>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_ASSIGN_EVALUATOR_H
#define EIGEN_ASSIGN_EVALUATOR_H
// This implementation is based on Assign.h
namespace internal {
/***************************************************************************
* Part 1 : the logic deciding a strategy for traversal and unrolling *
***************************************************************************/
// copy_using_evaluator_traits is based on assign_traits
// (actually, it's identical)
template <typename Derived, typename OtherDerived>
struct copy_using_evaluator_traits
{
public:
enum {
DstIsAligned = Derived::Flags & AlignedBit,
DstHasDirectAccess = Derived::Flags & DirectAccessBit,
SrcIsAligned = OtherDerived::Flags & AlignedBit,
JointAlignment = bool(DstIsAligned) && bool(SrcIsAligned) ? Aligned : Unaligned
};
private:
enum {
InnerSize = int(Derived::IsVectorAtCompileTime) ? int(Derived::SizeAtCompileTime)
: int(Derived::Flags)&RowMajorBit ? int(Derived::ColsAtCompileTime)
: int(Derived::RowsAtCompileTime),
InnerMaxSize = int(Derived::IsVectorAtCompileTime) ? int(Derived::MaxSizeAtCompileTime)
: int(Derived::Flags)&RowMajorBit ? int(Derived::MaxColsAtCompileTime)
: int(Derived::MaxRowsAtCompileTime),
MaxSizeAtCompileTime = Derived::SizeAtCompileTime,
PacketSize = packet_traits<typename Derived::Scalar>::size
};
enum {
StorageOrdersAgree = (int(Derived::IsRowMajor) == int(OtherDerived::IsRowMajor)),
MightVectorize = StorageOrdersAgree
&& (int(Derived::Flags) & int(OtherDerived::Flags) & ActualPacketAccessBit),
MayInnerVectorize = MightVectorize && int(InnerSize)!=Dynamic && int(InnerSize)%int(PacketSize)==0
&& int(DstIsAligned) && int(SrcIsAligned),
MayLinearize = StorageOrdersAgree && (int(Derived::Flags) & int(OtherDerived::Flags) & LinearAccessBit),
MayLinearVectorize = MightVectorize && MayLinearize && DstHasDirectAccess
&& (DstIsAligned || MaxSizeAtCompileTime == Dynamic),
/* If the destination isn't aligned, we have to do runtime checks and we don't unroll,
so it's only good for large enough sizes. */
MaySliceVectorize = MightVectorize && DstHasDirectAccess
&& (int(InnerMaxSize)==Dynamic || int(InnerMaxSize)>=3*PacketSize)
/* slice vectorization can be slow, so we only want it if the slices are big, which is
indicated by InnerMaxSize rather than InnerSize, think of the case of a dynamic block
in a fixed-size matrix */
};
public:
enum {
Traversal = int(MayInnerVectorize) ? int(InnerVectorizedTraversal)
: int(MayLinearVectorize) ? int(LinearVectorizedTraversal)
: int(MaySliceVectorize) ? int(SliceVectorizedTraversal)
: int(MayLinearize) ? int(LinearTraversal)
: int(DefaultTraversal),
Vectorized = int(Traversal) == InnerVectorizedTraversal
|| int(Traversal) == LinearVectorizedTraversal
|| int(Traversal) == SliceVectorizedTraversal
};
private:
enum {
UnrollingLimit = EIGEN_UNROLLING_LIMIT * (Vectorized ? int(PacketSize) : 1),
MayUnrollCompletely = int(Derived::SizeAtCompileTime) != Dynamic
&& int(OtherDerived::CoeffReadCost) != Dynamic
&& int(Derived::SizeAtCompileTime) * int(OtherDerived::CoeffReadCost) <= int(UnrollingLimit),
MayUnrollInner = int(InnerSize) != Dynamic
&& int(OtherDerived::CoeffReadCost) != Dynamic
&& int(InnerSize) * int(OtherDerived::CoeffReadCost) <= int(UnrollingLimit)
};
public:
enum {
Unrolling = (int(Traversal) == int(InnerVectorizedTraversal) || int(Traversal) == int(DefaultTraversal))
? (
int(MayUnrollCompletely) ? int(CompleteUnrolling)
: int(MayUnrollInner) ? int(InnerUnrolling)
: int(NoUnrolling)
)
: int(Traversal) == int(LinearVectorizedTraversal)
? ( bool(MayUnrollCompletely) && bool(DstIsAligned) ? int(CompleteUnrolling)
: int(NoUnrolling) )
: int(Traversal) == int(LinearTraversal)
? ( bool(MayUnrollCompletely) ? int(CompleteUnrolling)
: int(NoUnrolling) )
: int(NoUnrolling)
};
#ifdef EIGEN_DEBUG_ASSIGN
static void debug()
{
EIGEN_DEBUG_VAR(DstIsAligned)
EIGEN_DEBUG_VAR(SrcIsAligned)
EIGEN_DEBUG_VAR(JointAlignment)
EIGEN_DEBUG_VAR(InnerSize)
EIGEN_DEBUG_VAR(InnerMaxSize)
EIGEN_DEBUG_VAR(PacketSize)
EIGEN_DEBUG_VAR(StorageOrdersAgree)
EIGEN_DEBUG_VAR(MightVectorize)
EIGEN_DEBUG_VAR(MayLinearize)
EIGEN_DEBUG_VAR(MayInnerVectorize)
EIGEN_DEBUG_VAR(MayLinearVectorize)
EIGEN_DEBUG_VAR(MaySliceVectorize)
EIGEN_DEBUG_VAR(Traversal)
EIGEN_DEBUG_VAR(UnrollingLimit)
EIGEN_DEBUG_VAR(MayUnrollCompletely)
EIGEN_DEBUG_VAR(MayUnrollInner)
EIGEN_DEBUG_VAR(Unrolling)
}
#endif
};
/***************************************************************************
* Part 2 : meta-unrollers
***************************************************************************/
/************************
*** Default traversal ***
************************/
template<typename DstEvaluatorType, typename SrcEvaluatorType, int Index, int Stop>
struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling
{
typedef typename DstEvaluatorType::XprType DstXprType;
enum {
outer = Index / DstXprType::InnerSizeAtCompileTime,
inner = Index % DstXprType::InnerSizeAtCompileTime
};
EIGEN_STRONG_INLINE static void run(DstEvaluatorType &dstEvaluator,
SrcEvaluatorType &srcEvaluator)
{
dstEvaluator.copyCoeffByOuterInner(outer, inner, srcEvaluator);
copy_using_evaluator_DefaultTraversal_CompleteUnrolling
<DstEvaluatorType, SrcEvaluatorType, Index+1, Stop>
::run(dstEvaluator, srcEvaluator);
}
};
template<typename DstEvaluatorType, typename SrcEvaluatorType, int Stop>
struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling<DstEvaluatorType, SrcEvaluatorType, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(DstEvaluatorType&, SrcEvaluatorType&) { }
};
template<typename DstEvaluatorType, typename SrcEvaluatorType, int Index, int Stop>
struct copy_using_evaluator_DefaultTraversal_InnerUnrolling
{
EIGEN_STRONG_INLINE static void run(DstEvaluatorType &dstEvaluator,
SrcEvaluatorType &srcEvaluator,
int outer)
{
dstEvaluator.copyCoeffByOuterInner(outer, Index, srcEvaluator);
copy_using_evaluator_DefaultTraversal_InnerUnrolling
<DstEvaluatorType, SrcEvaluatorType, Index+1, Stop>
::run(dstEvaluator, srcEvaluator, outer);
}
};
template<typename DstEvaluatorType, typename SrcEvaluatorType, int Stop>
struct copy_using_evaluator_DefaultTraversal_InnerUnrolling<DstEvaluatorType, SrcEvaluatorType, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(DstEvaluatorType&, SrcEvaluatorType&, int) { }
};
/***********************
*** Linear traversal ***
***********************/
template<typename DstEvaluatorType, typename SrcEvaluatorType, int Index, int Stop>
struct copy_using_evaluator_LinearTraversal_CompleteUnrolling
{
EIGEN_STRONG_INLINE static void run(DstEvaluatorType &dstEvaluator,
SrcEvaluatorType &srcEvaluator)
{
dstEvaluator.copyCoeff(Index, srcEvaluator);
copy_using_evaluator_LinearTraversal_CompleteUnrolling
<DstEvaluatorType, SrcEvaluatorType, Index+1, Stop>
::run(dstEvaluator, srcEvaluator);
}
};
template<typename DstEvaluatorType, typename SrcEvaluatorType, int Stop>
struct copy_using_evaluator_LinearTraversal_CompleteUnrolling<DstEvaluatorType, SrcEvaluatorType, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(DstEvaluatorType&, SrcEvaluatorType&) { }
};
/**************************
*** Inner vectorization ***
**************************/
template<typename DstEvaluatorType, typename SrcEvaluatorType, int Index, int Stop>
struct copy_using_evaluator_innervec_CompleteUnrolling
{
typedef typename DstEvaluatorType::XprType DstXprType;
typedef typename SrcEvaluatorType::XprType SrcXprType;
enum {
outer = Index / DstXprType::InnerSizeAtCompileTime,
inner = Index % DstXprType::InnerSizeAtCompileTime,
JointAlignment = copy_using_evaluator_traits<DstXprType,SrcXprType>::JointAlignment
};
EIGEN_STRONG_INLINE static void run(DstEvaluatorType &dstEvaluator,
SrcEvaluatorType &srcEvaluator)
{
dstEvaluator.template copyPacketByOuterInner<Aligned, JointAlignment>(outer, inner, srcEvaluator);
enum { NextIndex = Index + packet_traits<typename DstXprType::Scalar>::size };
copy_using_evaluator_innervec_CompleteUnrolling
<DstEvaluatorType, SrcEvaluatorType, NextIndex, Stop>
::run(dstEvaluator, srcEvaluator);
}
};
template<typename DstEvaluatorType, typename SrcEvaluatorType, int Stop>
struct copy_using_evaluator_innervec_CompleteUnrolling<DstEvaluatorType, SrcEvaluatorType, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(DstEvaluatorType&, SrcEvaluatorType&) { }
};
template<typename DstEvaluatorType, typename SrcEvaluatorType, int Index, int Stop>
struct copy_using_evaluator_innervec_InnerUnrolling
{
EIGEN_STRONG_INLINE static void run(DstEvaluatorType &dstEvaluator,
SrcEvaluatorType &srcEvaluator,
int outer)
{
dstEvaluator.template copyPacketByOuterInner<Aligned, Aligned>(outer, Index, srcEvaluator);
typedef typename DstEvaluatorType::XprType DstXprType;
enum { NextIndex = Index + packet_traits<typename DstXprType::Scalar>::size };
copy_using_evaluator_innervec_InnerUnrolling
<DstEvaluatorType, SrcEvaluatorType, NextIndex, Stop>
::run(dstEvaluator, srcEvaluator, outer);
}
};
template<typename DstEvaluatorType, typename SrcEvaluatorType, int Stop>
struct copy_using_evaluator_innervec_InnerUnrolling<DstEvaluatorType, SrcEvaluatorType, Stop, Stop>
{
EIGEN_STRONG_INLINE static void run(DstEvaluatorType&, SrcEvaluatorType&, int) { }
};
/***************************************************************************
* Part 3 : implementation of all cases
***************************************************************************/
// copy_using_evaluator_impl is based on assign_impl
template<typename DstXprType, typename SrcXprType,
int Traversal = copy_using_evaluator_traits<DstXprType, SrcXprType>::Traversal,
int Unrolling = copy_using_evaluator_traits<DstXprType, SrcXprType>::Unrolling>
struct copy_using_evaluator_impl;
/************************
*** Default traversal ***
************************/
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, DefaultTraversal, NoUnrolling>
{
static void run(DstXprType& dst, const SrcXprType& src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
typedef typename DstXprType::Index Index;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
for(Index outer = 0; outer < dst.outerSize(); ++outer) {
for(Index inner = 0; inner < dst.innerSize(); ++inner) {
dstEvaluator.copyCoeffByOuterInner(outer, inner, srcEvaluator);
}
}
}
};
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, DefaultTraversal, CompleteUnrolling>
{
EIGEN_STRONG_INLINE static void run(DstXprType &dst, const SrcXprType &src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
copy_using_evaluator_DefaultTraversal_CompleteUnrolling
<DstEvaluatorType, SrcEvaluatorType, 0, DstXprType::SizeAtCompileTime>
::run(dstEvaluator, srcEvaluator);
}
};
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, DefaultTraversal, InnerUnrolling>
{
typedef typename DstXprType::Index Index;
EIGEN_STRONG_INLINE static void run(DstXprType &dst, const SrcXprType &src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
const Index outerSize = dst.outerSize();
for(Index outer = 0; outer < outerSize; ++outer)
copy_using_evaluator_DefaultTraversal_InnerUnrolling
<DstEvaluatorType, SrcEvaluatorType, 0, DstXprType::InnerSizeAtCompileTime>
::run(dstEvaluator, srcEvaluator, outer);
}
};
/***************************
*** Linear vectorization ***
***************************/
template <bool IsAligned = false>
struct unaligned_copy_using_evaluator_impl
{
// if IsAligned = true, then do nothing
template <typename SrcEvaluatorType, typename DstEvaluatorType>
static EIGEN_STRONG_INLINE void run(const SrcEvaluatorType&, DstEvaluatorType&,
typename SrcEvaluatorType::Index, typename SrcEvaluatorType::Index) {}
};
template <>
struct unaligned_copy_using_evaluator_impl<false>
{
// MSVC must not inline this functions. If it does, it fails to optimize the
// packet access path.
#ifdef _MSC_VER
template <typename DstEvaluatorType, typename SrcEvaluatorType>
static EIGEN_DONT_INLINE void run(DstEvaluatorType &dstEvaluator,
const SrcEvaluatorType &srcEvaluator,
typename DstEvaluatorType::Index start,
typename DstEvaluatorType::Index end)
#else
template <typename DstEvaluatorType, typename SrcEvaluatorType>
static EIGEN_STRONG_INLINE void run(DstEvaluatorType &dstEvaluator,
const SrcEvaluatorType &srcEvaluator,
typename DstEvaluatorType::Index start,
typename DstEvaluatorType::Index end)
#endif
{
for (typename DstEvaluatorType::Index index = start; index < end; ++index)
dstEvaluator.copyCoeff(index, srcEvaluator);
}
};
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, LinearVectorizedTraversal, NoUnrolling>
{
EIGEN_STRONG_INLINE static void run(DstXprType &dst, const SrcXprType &src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
typedef typename DstXprType::Index Index;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
const Index size = dst.size();
typedef packet_traits<typename DstXprType::Scalar> PacketTraits;
enum {
packetSize = PacketTraits::size,
dstIsAligned = int(copy_using_evaluator_traits<DstXprType,SrcXprType>::DstIsAligned),
dstAlignment = PacketTraits::AlignedOnScalar ? Aligned : dstIsAligned,
srcAlignment = copy_using_evaluator_traits<DstXprType,SrcXprType>::JointAlignment
};
const Index alignedStart = dstIsAligned ? 0 : first_aligned(&dstEvaluator.coeffRef(0), size);
const Index alignedEnd = alignedStart + ((size-alignedStart)/packetSize)*packetSize;
unaligned_copy_using_evaluator_impl<dstIsAligned!=0>::run(dstEvaluator, srcEvaluator, 0, alignedStart);
for(Index index = alignedStart; index < alignedEnd; index += packetSize)
{
dstEvaluator.template copyPacket<dstAlignment, srcAlignment>(index, srcEvaluator);
}
unaligned_copy_using_evaluator_impl<>::run(dstEvaluator, srcEvaluator, alignedEnd, size);
}
};
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, LinearVectorizedTraversal, CompleteUnrolling>
{
typedef typename DstXprType::Index Index;
EIGEN_STRONG_INLINE static void run(DstXprType &dst, const SrcXprType &src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
enum { size = DstXprType::SizeAtCompileTime,
packetSize = packet_traits<typename DstXprType::Scalar>::size,
alignedSize = (size/packetSize)*packetSize };
copy_using_evaluator_innervec_CompleteUnrolling
<DstEvaluatorType, SrcEvaluatorType, 0, alignedSize>
::run(dstEvaluator, srcEvaluator);
copy_using_evaluator_DefaultTraversal_CompleteUnrolling
<DstEvaluatorType, SrcEvaluatorType, alignedSize, size>
::run(dstEvaluator, srcEvaluator);
}
};
/**************************
*** Inner vectorization ***
**************************/
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, InnerVectorizedTraversal, NoUnrolling>
{
inline static void run(DstXprType &dst, const SrcXprType &src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
typedef typename DstXprType::Index Index;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
const Index innerSize = dst.innerSize();
const Index outerSize = dst.outerSize();
const Index packetSize = packet_traits<typename DstXprType::Scalar>::size;
for(Index outer = 0; outer < outerSize; ++outer)
for(Index inner = 0; inner < innerSize; inner+=packetSize) {
dstEvaluator.template copyPacketByOuterInner<Aligned, Aligned>(outer, inner, srcEvaluator);
}
}
};
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, InnerVectorizedTraversal, CompleteUnrolling>
{
EIGEN_STRONG_INLINE static void run(DstXprType &dst, const SrcXprType &src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
copy_using_evaluator_innervec_CompleteUnrolling
<DstEvaluatorType, SrcEvaluatorType, 0, DstXprType::SizeAtCompileTime>
::run(dstEvaluator, srcEvaluator);
}
};
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, InnerVectorizedTraversal, InnerUnrolling>
{
typedef typename DstXprType::Index Index;
EIGEN_STRONG_INLINE static void run(DstXprType &dst, const SrcXprType &src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
const Index outerSize = dst.outerSize();
for(Index outer = 0; outer < outerSize; ++outer)
copy_using_evaluator_innervec_InnerUnrolling
<DstEvaluatorType, SrcEvaluatorType, 0, DstXprType::InnerSizeAtCompileTime>
::run(dstEvaluator, srcEvaluator, outer);
}
};
/***********************
*** Linear traversal ***
***********************/
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, LinearTraversal, NoUnrolling>
{
inline static void run(DstXprType &dst, const SrcXprType &src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
typedef typename DstXprType::Index Index;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
const Index size = dst.size();
for(Index i = 0; i < size; ++i)
dstEvaluator.copyCoeff(i, srcEvaluator);
}
};
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, LinearTraversal, CompleteUnrolling>
{
EIGEN_STRONG_INLINE static void run(DstXprType &dst, const SrcXprType &src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
copy_using_evaluator_LinearTraversal_CompleteUnrolling
<DstEvaluatorType, SrcEvaluatorType, 0, DstXprType::SizeAtCompileTime>
::run(dstEvaluator, srcEvaluator);
}
};
/**************************
*** Slice vectorization ***
***************************/
template<typename DstXprType, typename SrcXprType>
struct copy_using_evaluator_impl<DstXprType, SrcXprType, SliceVectorizedTraversal, NoUnrolling>
{
inline static void run(DstXprType &dst, const SrcXprType &src)
{
typedef typename evaluator<DstXprType>::type DstEvaluatorType;
typedef typename evaluator<SrcXprType>::type SrcEvaluatorType;
typedef typename DstXprType::Index Index;
DstEvaluatorType dstEvaluator(dst);
SrcEvaluatorType srcEvaluator(src);
typedef packet_traits<typename DstXprType::Scalar> PacketTraits;
enum {
packetSize = PacketTraits::size,
alignable = PacketTraits::AlignedOnScalar,
dstAlignment = alignable ? Aligned : int(copy_using_evaluator_traits<DstXprType,SrcXprType>::DstIsAligned) ,
srcAlignment = copy_using_evaluator_traits<DstXprType,SrcXprType>::JointAlignment
};
const Index packetAlignedMask = packetSize - 1;
const Index innerSize = dst.innerSize();
const Index outerSize = dst.outerSize();
const Index alignedStep = alignable ? (packetSize - dst.outerStride() % packetSize) & packetAlignedMask : 0;
Index alignedStart = ((!alignable) || copy_using_evaluator_traits<DstXprType,SrcXprType>::DstIsAligned) ? 0
: first_aligned(&dstEvaluator.coeffRef(0,0), innerSize);
for(Index outer = 0; outer < outerSize; ++outer)
{
const Index alignedEnd = alignedStart + ((innerSize-alignedStart) & ~packetAlignedMask);
// do the non-vectorizable part of the assignment
for(Index inner = 0; inner<alignedStart ; ++inner) {
dstEvaluator.copyCoeffByOuterInner(outer, inner, srcEvaluator);
}
// do the vectorizable part of the assignment
for(Index inner = alignedStart; inner<alignedEnd; inner+=packetSize) {
dstEvaluator.template copyPacketByOuterInner<dstAlignment, srcAlignment>(outer, inner, srcEvaluator);
}
// do the non-vectorizable part of the assignment
for(Index inner = alignedEnd; inner<innerSize ; ++inner) {
dstEvaluator.copyCoeffByOuterInner(outer, inner, srcEvaluator);
}
alignedStart = std::min<Index>((alignedStart+alignedStep)%packetSize, innerSize);
}
}
};
/***************************************************************************
* Part 4 : Entry points
***************************************************************************/
// Based on DenseBase::LazyAssign()
template<typename DstXprType, typename SrcXprType>
const DstXprType& copy_using_evaluator(const DstXprType& dst, const SrcXprType& src)
{
#ifdef EIGEN_DEBUG_ASSIGN
internal::copy_using_evaluator_traits<DstXprType, SrcXprType>::debug();
#endif
copy_using_evaluator_impl<DstXprType, SrcXprType>::run(const_cast<DstXprType&>(dst), src);
return dst;
}
// Based on DenseBase::swap()
// TODO: Chech whether we need to do something special for swapping two
// Arrays or Matrices.
template<typename DstXprType, typename SrcXprType>
void swap_using_evaluator(const DstXprType& dst, const SrcXprType& src)
{
copy_using_evaluator(SwapWrapper<DstXprType>(const_cast<DstXprType&>(dst)), src);
}
// Based on MatrixBase::operator+= (in CwiseBinaryOp.h)
template<typename DstXprType, typename SrcXprType>
void add_assign_using_evaluator(const MatrixBase<DstXprType>& dst, const MatrixBase<SrcXprType>& src)
{
typedef typename DstXprType::Scalar Scalar;
SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, DstXprType, SrcXprType> tmp(dst.const_cast_derived());
copy_using_evaluator(tmp, src.derived());
}
// Based on ArrayBase::operator+=
template<typename DstXprType, typename SrcXprType>
void add_assign_using_evaluator(const ArrayBase<DstXprType>& dst, const ArrayBase<SrcXprType>& src)
{
typedef typename DstXprType::Scalar Scalar;
SelfCwiseBinaryOp<internal::scalar_sum_op<Scalar>, DstXprType, SrcXprType> tmp(dst.const_cast_derived());
copy_using_evaluator(tmp, src.derived());
}
// TODO: Add add_assign_using_evaluator for EigenBase ?
template<typename DstXprType, typename SrcXprType>
void subtract_assign_using_evaluator(const MatrixBase<DstXprType>& dst, const MatrixBase<SrcXprType>& src)
{
typedef typename DstXprType::Scalar Scalar;
SelfCwiseBinaryOp<internal::scalar_difference_op<Scalar>, DstXprType, SrcXprType> tmp(dst.const_cast_derived());
copy_using_evaluator(tmp, src.derived());
}
template<typename DstXprType, typename SrcXprType>
void subtract_assign_using_evaluator(const ArrayBase<DstXprType>& dst, const ArrayBase<SrcXprType>& src)
{
typedef typename DstXprType::Scalar Scalar;
SelfCwiseBinaryOp<internal::scalar_difference_op<Scalar>, DstXprType, SrcXprType> tmp(dst.const_cast_derived());
copy_using_evaluator(tmp, src.derived());
}
template<typename DstXprType, typename SrcXprType>
void multiply_assign_using_evaluator(const ArrayBase<DstXprType>& dst, const ArrayBase<SrcXprType>& src)
{
typedef typename DstXprType::Scalar Scalar;
SelfCwiseBinaryOp<internal::scalar_product_op<Scalar>, DstXprType, SrcXprType> tmp(dst.const_cast_derived());
copy_using_evaluator(tmp, src.derived());
}
template<typename DstXprType, typename SrcXprType>
void divide_assign_using_evaluator(const ArrayBase<DstXprType>& dst, const ArrayBase<SrcXprType>& src)
{
typedef typename DstXprType::Scalar Scalar;
SelfCwiseBinaryOp<internal::scalar_quotient_op<Scalar>, DstXprType, SrcXprType> tmp(dst.const_cast_derived());
copy_using_evaluator(tmp, src.derived());
}
} // namespace internal
#endif // EIGEN_ASSIGN_EVALUATOR_H

224
Eigen/src/Core/Assign_MKL.h Normal file
View File

@@ -0,0 +1,224 @@
/*
Copyright (c) 2011, Intel Corporation. All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name of Intel Corporation nor the names of its contributors may
be used to endorse or promote products derived from this software without
specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
********************************************************************************
* Content : Eigen bindings to Intel(R) MKL
* MKL VML support for coefficient-wise unary Eigen expressions like a=b.sin()
********************************************************************************
*/
#ifndef EIGEN_ASSIGN_VML_H
#define EIGEN_ASSIGN_VML_H
namespace Eigen {
namespace internal {
template<typename Op> struct vml_call
{ enum { IsSupported = 0 }; };
template<typename Dst, typename Src, typename UnaryOp>
class vml_assign_traits
{
private:
enum {
DstHasDirectAccess = Dst::Flags & DirectAccessBit,
SrcHasDirectAccess = Src::Flags & DirectAccessBit,
StorageOrdersAgree = (int(Dst::IsRowMajor) == int(Src::IsRowMajor)),
InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime)
: int(Dst::Flags)&RowMajorBit ? int(Dst::ColsAtCompileTime)
: int(Dst::RowsAtCompileTime),
InnerMaxSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::MaxSizeAtCompileTime)
: int(Dst::Flags)&RowMajorBit ? int(Dst::MaxColsAtCompileTime)
: int(Dst::MaxRowsAtCompileTime),
MaxSizeAtCompileTime = Dst::SizeAtCompileTime,
MightEnableVml = vml_call<UnaryOp>::IsSupported && StorageOrdersAgree && DstHasDirectAccess && SrcHasDirectAccess
&& Src::InnerStrideAtCompileTime==1 && Dst::InnerStrideAtCompileTime==1,
MightLinearize = MightEnableVml && (int(Dst::Flags) & int(Src::Flags) & LinearAccessBit),
VmlSize = MightLinearize ? MaxSizeAtCompileTime : InnerMaxSize,
LargeEnough = VmlSize==Dynamic || VmlSize>=EIGEN_MKL_VML_THRESHOLD,
MayEnableVml = MightEnableVml && LargeEnough,
MayLinearize = MayEnableVml && MightLinearize
};
public:
enum {
Traversal = MayLinearize ? LinearVectorizedTraversal
: MayEnableVml ? InnerVectorizedTraversal
: DefaultTraversal
};
};
template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling,
int VmlTraversal = vml_assign_traits<Derived1, Derived2, UnaryOp>::Traversal >
struct vml_assign_impl
: assign_impl<Derived1, Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>
{
};
template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling>
struct vml_assign_impl<Derived1, Derived2, UnaryOp, Traversal, Unrolling, InnerVectorizedTraversal>
{
typedef typename Derived1::Scalar Scalar;
typedef typename Derived1::Index Index;
static inline void run(Derived1& dst, const CwiseUnaryOp<UnaryOp, Derived2>& src)
{
// in case we want to (or have to) skip VML at runtime we can call:
// assign_impl<Derived1,Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>::run(dst,src);
const Index innerSize = dst.innerSize();
const Index outerSize = dst.outerSize();
for(Index outer = 0; outer < outerSize; ++outer) {
const Scalar *src_ptr = src.IsRowMajor ? &(src.nestedExpression().coeffRef(outer,0)) :
&(src.nestedExpression().coeffRef(0, outer));
Scalar *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer));
vml_call<UnaryOp>::run(src.functor(), innerSize, src_ptr, dst_ptr );
}
}
};
template<typename Derived1, typename Derived2, typename UnaryOp, int Traversal, int Unrolling>
struct vml_assign_impl<Derived1, Derived2, UnaryOp, Traversal, Unrolling, LinearVectorizedTraversal>
{
static inline void run(Derived1& dst, const CwiseUnaryOp<UnaryOp, Derived2>& src)
{
// in case we want to (or have to) skip VML at runtime we can call:
// assign_impl<Derived1,Eigen::CwiseUnaryOp<UnaryOp, Derived2>,Traversal,Unrolling,BuiltIn>::run(dst,src);
vml_call<UnaryOp>::run(src.functor(), dst.size(), src.nestedExpression().data(), dst.data() );
}
};
// Macroses
#define EIGEN_MKL_VML_SPECIALIZE_ASSIGN(TRAVERSAL,UNROLLING) \
template<typename Derived1, typename Derived2, typename UnaryOp> \
struct assign_impl<Derived1, Eigen::CwiseUnaryOp<UnaryOp, Derived2>, TRAVERSAL, UNROLLING, Specialized> { \
static inline void run(Derived1 &dst, const Eigen::CwiseUnaryOp<UnaryOp, Derived2> &src) { \
vml_assign_impl<Derived1,Derived2,UnaryOp,TRAVERSAL,UNROLLING>::run(dst, src); \
} \
};
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,NoUnrolling)
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,CompleteUnrolling)
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(DefaultTraversal,InnerUnrolling)
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearTraversal,NoUnrolling)
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearTraversal,CompleteUnrolling)
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,NoUnrolling)
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,CompleteUnrolling)
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(InnerVectorizedTraversal,InnerUnrolling)
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearVectorizedTraversal,CompleteUnrolling)
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(LinearVectorizedTraversal,NoUnrolling)
EIGEN_MKL_VML_SPECIALIZE_ASSIGN(SliceVectorizedTraversal,NoUnrolling)
#if !defined (EIGEN_FAST_MATH) || (EIGEN_FAST_MATH != 1)
#define EIGEN_MKL_VML_MODE VML_HA
#else
#define EIGEN_MKL_VML_MODE VML_LA
#endif
#define EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
enum { IsSupported = 1 }; \
static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& /*func*/, \
int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
VMLOP(size, (const VMLTYPE*)src, (VMLTYPE*)dst); \
} \
};
#define EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
enum { IsSupported = 1 }; \
static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& /*func*/, \
int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
MKL_INT64 vmlMode = EIGEN_MKL_VML_MODE; \
VMLOP(size, (const VMLTYPE*)src, (VMLTYPE*)dst, vmlMode); \
} \
};
#define EIGEN_MKL_VML_DECLARE_POW_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
enum { IsSupported = 1 }; \
static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& func, \
int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
EIGENTYPE exponent = func.m_exponent; \
MKL_INT64 vmlMode = EIGEN_MKL_VML_MODE; \
VMLOP(&size, (const VMLTYPE*)src, (const VMLTYPE*)&exponent, \
(VMLTYPE*)dst, &vmlMode); \
} \
};
#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vs##VMLOP, float, float) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vd##VMLOP, double, double)
#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX(EIGENOP, VMLOP) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vc##VMLOP, scomplex, MKL_Complex8) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, vz##VMLOP, dcomplex, MKL_Complex16)
#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS(EIGENOP, VMLOP) \
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP) \
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX(EIGENOP, VMLOP)
#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL_LA(EIGENOP, VMLOP) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vms##VMLOP, float, float) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmd##VMLOP, double, double)
#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX_LA(EIGENOP, VMLOP) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmc##VMLOP, scomplex, MKL_Complex8) \
EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, vmz##VMLOP, dcomplex, MKL_Complex16)
#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(EIGENOP, VMLOP) \
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL_LA(EIGENOP, VMLOP) \
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_COMPLEX_LA(EIGENOP, VMLOP)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(sin, Sin)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(asin, Asin)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(cos, Cos)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(acos, Acos)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(tan, Tan)
//EIGEN_MKL_VML_DECLARE_UNARY_CALLS(abs, Abs)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(exp, Exp)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(log, Ln)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_LA(sqrt, Sqrt)
EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(square, Sqr)
// The vm*powx functions are not avaibale in the windows version of MKL.
#ifdef _WIN32
EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmspowx_, float, float)
EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmdpowx_, double, double)
EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmcpowx_, scomplex, MKL_Complex8)
EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmzpowx_, dcomplex, MKL_Complex16)
#endif
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_ASSIGN_VML_H

View File

@@ -3,30 +3,16 @@
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_BANDMATRIX_H
#define EIGEN_BANDMATRIX_H
namespace internal {
namespace Eigen {
namespace internal {
template<typename Derived>
class BandMatrixBase : public EigenBase<Derived>
@@ -343,4 +329,6 @@ class TridiagonalMatrix : public BandMatrix<Scalar,Size,Size,Options&SelfAdjoint
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_BANDMATRIX_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_BLOCK_H
#define EIGEN_BLOCK_H
namespace Eigen {
/** \class Block
* \ingroup Core_Module
*
@@ -94,7 +81,7 @@ struct traits<Block<XprType, BlockRows, BlockCols, InnerPanel, HasDirectAccess>
MaskPacketAccessBit = (InnerSize == Dynamic || (InnerSize % packet_traits<Scalar>::size) == 0)
&& (InnerStrideAtCompileTime == 1)
? PacketAccessBit : 0,
MaskAlignedBit = (InnerPanel && (OuterStrideAtCompileTime!=Dynamic) && (((OuterStrideAtCompileTime * sizeof(Scalar)) % 16) == 0)) ? AlignedBit : 0,
MaskAlignedBit = (InnerPanel && (OuterStrideAtCompileTime!=Dynamic) && (((OuterStrideAtCompileTime * int(sizeof(Scalar))) % 16) == 0)) ? AlignedBit : 0,
FlagsLinearAccessBit = (RowsAtCompileTime == 1 || ColsAtCompileTime == 1) ? LinearAccessBit : 0,
FlagsLvalueBit = is_lvalue<XprType>::value ? LvalueBit : 0,
FlagsRowMajorBit = IsRowMajor ? RowMajorBit : 0,
@@ -361,9 +348,10 @@ class Block<XprType,BlockRows,BlockCols, InnerPanel,true>
: m_xpr.innerStride();
}
const typename XprType::Nested m_xpr;
int m_outerStride;
typename XprType::Nested m_xpr;
Index m_outerStride;
};
} // end namespace Eigen
#endif // EIGEN_BLOCK_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_ALLANDANY_H
#define EIGEN_ALLANDANY_H
namespace Eigen {
namespace internal {
template<typename Derived, int UnrollCount>
@@ -35,7 +22,7 @@ struct all_unroller
row = (UnrollCount-1) % Derived::RowsAtCompileTime
};
inline static bool run(const Derived &mat)
static inline bool run(const Derived &mat)
{
return all_unroller<Derived, UnrollCount-1>::run(mat) && mat.coeff(row, col);
}
@@ -44,13 +31,13 @@ struct all_unroller
template<typename Derived>
struct all_unroller<Derived, 1>
{
inline static bool run(const Derived &mat) { return mat.coeff(0, 0); }
static inline bool run(const Derived &mat) { return mat.coeff(0, 0); }
};
template<typename Derived>
struct all_unroller<Derived, Dynamic>
{
inline static bool run(const Derived &) { return false; }
static inline bool run(const Derived &) { return false; }
};
template<typename Derived, int UnrollCount>
@@ -61,7 +48,7 @@ struct any_unroller
row = (UnrollCount-1) % Derived::RowsAtCompileTime
};
inline static bool run(const Derived &mat)
static inline bool run(const Derived &mat)
{
return any_unroller<Derived, UnrollCount-1>::run(mat) || mat.coeff(row, col);
}
@@ -70,13 +57,13 @@ struct any_unroller
template<typename Derived>
struct any_unroller<Derived, 1>
{
inline static bool run(const Derived &mat) { return mat.coeff(0, 0); }
static inline bool run(const Derived &mat) { return mat.coeff(0, 0); }
};
template<typename Derived>
struct any_unroller<Derived, Dynamic>
{
inline static bool run(const Derived &) { return false; }
static inline bool run(const Derived &) { return false; }
};
} // end namespace internal
@@ -146,4 +133,6 @@ inline typename DenseBase<Derived>::Index DenseBase<Derived>::count() const
return derived().template cast<bool>().template cast<Index>().sum();
}
} // end namespace Eigen
#endif // EIGEN_ALLANDANY_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_COMMAINITIALIZER_H
#define EIGEN_COMMAINITIALIZER_H
namespace Eigen {
/** \class CommaInitializer
* \ingroup Core_Module
*
@@ -78,6 +65,8 @@ struct CommaInitializer
template<typename OtherDerived>
CommaInitializer& operator,(const DenseBase<OtherDerived>& other)
{
if(other.cols()==0 || other.rows()==0)
return *this;
if (m_col==m_xpr.cols())
{
m_row+=m_currentBlockRows;
@@ -147,4 +136,6 @@ DenseBase<Derived>::operator<<(const DenseBase<OtherDerived>& other)
return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
}
} // end namespace Eigen
#endif // EIGEN_COMMAINITIALIZER_H

File diff suppressed because it is too large Load Diff

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CWISE_BINARY_OP_H
#define EIGEN_CWISE_BINARY_OP_H
namespace Eigen {
/** \class CwiseBinaryOp
* \ingroup Core_Module
*
@@ -167,8 +154,8 @@ class CwiseBinaryOp : internal::no_assignment_operator,
const BinaryOp& functor() const { return m_functor; }
protected:
const LhsNested m_lhs;
const RhsNested m_rhs;
LhsNested m_lhs;
RhsNested m_rhs;
const BinaryOp m_functor;
};
@@ -237,4 +224,6 @@ MatrixBase<Derived>::operator+=(const MatrixBase<OtherDerived>& other)
return derived();
}
} // end namespace Eigen
#endif // EIGEN_CWISE_BINARY_OP_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CWISE_NULLARY_OP_H
#define EIGEN_CWISE_NULLARY_OP_H
namespace Eigen {
/** \class CwiseNullaryOp
* \ingroup Core_Module
*
@@ -241,6 +228,8 @@ DenseBase<Derived>::Constant(const Scalar& value)
* assumed to be a(0), a(1), ..., a(size). This assumption allows for better vectorization
* and yields faster code than the random access version.
*
* When size is set to 1, a vector of length 1 containing 'high' is returned.
*
* \only_for_vectors
*
* Example: \include DenseBase_LinSpaced_seq.cpp
@@ -273,6 +262,7 @@ DenseBase<Derived>::LinSpaced(Sequential_t, const Scalar& low, const Scalar& hig
* \brief Sets a linearly space vector.
*
* The function generates 'size' equally spaced values in the closed interval [low,high].
* When size is set to 1, a vector of length 1 containing 'high' is returned.
*
* \only_for_vectors
*
@@ -384,6 +374,7 @@ PlainObjectBase<Derived>::setConstant(Index rows, Index cols, const Scalar& valu
* \brief Sets a linearly space vector.
*
* The function generates 'size' equally spaced values in the closed interval [low,high].
* When size is set to 1, a vector of length 1 containing 'high' is returned.
*
* \only_for_vectors
*
@@ -399,6 +390,23 @@ EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setLinSpaced(Index size, const
return derived() = Derived::NullaryExpr(size, internal::linspaced_op<Scalar,false>(low,high,size));
}
/**
* \brief Sets a linearly space vector.
*
* The function fill *this with equally spaced values in the closed interval [low,high].
* When size is set to 1, a vector of length 1 containing 'high' is returned.
*
* \only_for_vectors
*
* \sa setLinSpaced(Index, const Scalar&, const Scalar&), CwiseNullaryOp
*/
template<typename Derived>
EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setLinSpaced(const Scalar& low, const Scalar& high)
{
EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
return setLinSpaced(size(), low, high);
}
// zero:
/** \returns an expression of a zero matrix.
@@ -851,4 +859,6 @@ template<typename Derived>
EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::UnitW()
{ return Derived::Unit(3); }
} // end namespace Eigen
#endif // EIGEN_CWISE_NULLARY_OP_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CWISE_UNARY_OP_H
#define EIGEN_CWISE_UNARY_OP_H
namespace Eigen {
/** \class CwiseUnaryOp
* \ingroup Core_Module
*
@@ -95,7 +82,7 @@ class CwiseUnaryOp : internal::no_assignment_operator,
nestedExpression() { return m_xpr.const_cast_derived(); }
protected:
const typename XprType::Nested m_xpr;
typename XprType::Nested m_xpr;
const UnaryOp m_functor;
};
@@ -134,4 +121,6 @@ class CwiseUnaryOpImpl<UnaryOp,XprType,Dense>
}
};
} // end namespace Eigen
#endif // EIGEN_CWISE_UNARY_OP_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CWISE_UNARY_VIEW_H
#define EIGEN_CWISE_UNARY_VIEW_H
namespace Eigen {
/** \class CwiseUnaryView
* \ingroup Core_Module
*
@@ -97,7 +84,7 @@ class CwiseUnaryView : internal::no_assignment_operator,
protected:
// FIXME changed from MatrixType::Nested because of a weird compilation error with sun CC
const typename internal::nested<MatrixType>::type m_matrix;
typename internal::nested<MatrixType>::type m_matrix;
ViewOp m_functor;
};
@@ -143,6 +130,6 @@ class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
}
};
} // end namespace Eigen
#endif // EIGEN_CWISE_UNARY_VIEW_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_DENSEBASE_H
#define EIGEN_DENSEBASE_H
namespace Eigen {
/** \class DenseBase
* \ingroup Core_Module
*
@@ -169,8 +156,8 @@ template<typename Derived> class DenseBase
IsRowMajor = int(Flags) & RowMajorBit, /**< True if this expression has row-major storage order. */
InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? SizeAtCompileTime
: int(IsRowMajor) ? ColsAtCompileTime : RowsAtCompileTime,
InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime)
: int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
CoeffReadCost = internal::traits<Derived>::CoeffReadCost,
/**< This is a rough measure of how expensive it is to read one coefficient from
@@ -376,12 +363,13 @@ template<typename Derived> class DenseBase
inline Derived& operator*=(const Scalar& other);
inline Derived& operator/=(const Scalar& other);
typedef typename internal::add_const_on_value_type<typename internal::eval<Derived>::type>::type EvalReturnType;
/** \returns the matrix or vector obtained by evaluating this expression.
*
* Notice that in the case of a plain matrix or vector (not an expression) this function just returns
* a const reference, in order to avoid a useless copy.
*/
EIGEN_STRONG_INLINE const typename internal::eval<Derived>::type eval() const
EIGEN_STRONG_INLINE EvalReturnType eval() const
{
// Even though MSVC does not honor strong inlining when the return type
// is a dynamic matrix, we desperately need strong inlining for fixed
@@ -540,4 +528,6 @@ template<typename Derived> class DenseBase
template<typename OtherDerived> explicit DenseBase(const DenseBase<OtherDerived>&);
};
} // end namespace Eigen
#endif // EIGEN_DENSEBASE_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_DENSECOEFFSBASE_H
#define EIGEN_DENSECOEFFSBASE_H
namespace Eigen {
namespace internal {
template<typename T> struct add_const_on_value_type_if_arithmetic
{
@@ -710,16 +697,16 @@ namespace internal {
template<typename Derived, bool JustReturnZero>
struct first_aligned_impl
{
inline static typename Derived::Index run(const Derived&)
static inline typename Derived::Index run(const Derived&)
{ return 0; }
};
template<typename Derived>
struct first_aligned_impl<Derived, false>
{
inline static typename Derived::Index run(const Derived& m)
static inline typename Derived::Index run(const Derived& m)
{
return first_aligned(&m.const_cast_derived().coeffRef(0,0), m.size());
return internal::first_aligned(&m.const_cast_derived().coeffRef(0,0), m.size());
}
};
@@ -729,7 +716,7 @@ struct first_aligned_impl<Derived, false>
* documentation.
*/
template<typename Derived>
inline static typename Derived::Index first_aligned(const Derived& m)
static inline typename Derived::Index first_aligned(const Derived& m)
{
return first_aligned_impl
<Derived, (Derived::Flags & AlignedBit) || !(Derived::Flags & DirectAccessBit)>
@@ -762,4 +749,6 @@ struct outer_stride_at_compile_time<Derived, false>
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_DENSECOEFFSBASE_H

View File

@@ -5,24 +5,9 @@
// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2010 Hauke Heibel <hauke.heibel@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_MATRIXSTORAGE_H
#define EIGEN_MATRIXSTORAGE_H
@@ -33,6 +18,8 @@
#define EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN
#endif
namespace Eigen {
namespace internal {
struct constructor_without_unaligned_array_assert {};
@@ -104,8 +91,8 @@ template<typename T, int Size, int _Rows, int _Cols, int _Options> class DenseSt
: m_data(internal::constructor_without_unaligned_array_assert()) {}
inline DenseStorage(DenseIndex,DenseIndex,DenseIndex) {}
inline void swap(DenseStorage& other) { std::swap(m_data,other.m_data); }
inline static DenseIndex rows(void) {return _Rows;}
inline static DenseIndex cols(void) {return _Cols;}
static inline DenseIndex rows(void) {return _Rows;}
static inline DenseIndex cols(void) {return _Cols;}
inline void conservativeResize(DenseIndex,DenseIndex,DenseIndex) {}
inline void resize(DenseIndex,DenseIndex,DenseIndex) {}
inline const T *data() const { return m_data.array; }
@@ -120,8 +107,8 @@ template<typename T, int _Rows, int _Cols, int _Options> class DenseStorage<T, 0
inline DenseStorage(internal::constructor_without_unaligned_array_assert) {}
inline DenseStorage(DenseIndex,DenseIndex,DenseIndex) {}
inline void swap(DenseStorage& ) {}
inline static DenseIndex rows(void) {return _Rows;}
inline static DenseIndex cols(void) {return _Cols;}
static inline DenseIndex rows(void) {return _Rows;}
static inline DenseIndex cols(void) {return _Cols;}
inline void conservativeResize(DenseIndex,DenseIndex,DenseIndex) {}
inline void resize(DenseIndex,DenseIndex,DenseIndex) {}
inline const T *data() const { return 0; }
@@ -251,7 +238,7 @@ template<typename T, int _Rows, int _Options> class DenseStorage<T, Dynamic, _Ro
{ EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN }
inline ~DenseStorage() { internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, _Rows*m_cols); }
inline void swap(DenseStorage& other) { std::swap(m_data,other.m_data); std::swap(m_cols,other.m_cols); }
inline static DenseIndex rows(void) {return _Rows;}
static inline DenseIndex rows(void) {return _Rows;}
inline DenseIndex cols(void) const {return m_cols;}
inline void conservativeResize(DenseIndex size, DenseIndex, DenseIndex cols)
{
@@ -288,7 +275,7 @@ template<typename T, int _Cols, int _Options> class DenseStorage<T, Dynamic, Dyn
inline ~DenseStorage() { internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, _Cols*m_rows); }
inline void swap(DenseStorage& other) { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); }
inline DenseIndex rows(void) const {return m_rows;}
inline static DenseIndex cols(void) {return _Cols;}
static inline DenseIndex cols(void) {return _Cols;}
inline void conservativeResize(DenseIndex size, DenseIndex rows, DenseIndex)
{
m_data = internal::conditional_aligned_realloc_new_auto<T,(_Options&DontAlign)==0>(m_data, size, m_rows*_Cols);
@@ -311,4 +298,6 @@ template<typename T, int _Cols, int _Options> class DenseStorage<T, Dynamic, Dyn
inline T *data() { return m_data; }
};
} // end namespace Eigen
#endif // EIGEN_MATRIX_H

View File

@@ -2,29 +2,17 @@
// for linear algebra.
//
// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_DIAGONAL_H
#define EIGEN_DIAGONAL_H
namespace Eigen {
/** \class Diagonal
* \ingroup Core_Module
*
@@ -53,16 +41,15 @@ struct traits<Diagonal<MatrixType,DiagIndex> >
typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
typedef typename MatrixType::StorageKind StorageKind;
enum {
AbsDiagIndex = DiagIndex<0 ? -DiagIndex : DiagIndex, // only used if DiagIndex != Dynamic
// FIXME these computations are broken in the case where the matrix is rectangular and DiagIndex!=0
RowsAtCompileTime = (int(DiagIndex) == Dynamic || int(MatrixType::SizeAtCompileTime) == Dynamic) ? Dynamic
: (EIGEN_SIZE_MIN_PREFER_DYNAMIC(MatrixType::RowsAtCompileTime,
MatrixType::ColsAtCompileTime) - AbsDiagIndex),
: (EIGEN_PLAIN_ENUM_MIN(MatrixType::RowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
MatrixType::ColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
ColsAtCompileTime = 1,
MaxRowsAtCompileTime = int(MatrixType::MaxSizeAtCompileTime) == Dynamic ? Dynamic
: DiagIndex == Dynamic ? EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::MaxRowsAtCompileTime,
MatrixType::MaxColsAtCompileTime)
: (EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::MaxRowsAtCompileTime, MatrixType::MaxColsAtCompileTime) - AbsDiagIndex),
MatrixType::MaxColsAtCompileTime)
: (EIGEN_PLAIN_ENUM_MIN(MatrixType::MaxRowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
MatrixType::MaxColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
MaxColsAtCompileTime = 1,
MaskLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
Flags = (unsigned int)_MatrixTypeNested::Flags & (HereditaryBits | LinearAccessBit | MaskLvalueBit | DirectAccessBit) & ~RowMajorBit,
@@ -101,6 +88,15 @@ template<typename MatrixType, int DiagIndex> class Diagonal
return 0;
}
typedef typename internal::conditional<
internal::is_lvalue<MatrixType>::value,
Scalar,
const Scalar
>::type ScalarWithConstIfNotLvalue;
inline ScalarWithConstIfNotLvalue* data() { return &(m_matrix.const_cast_derived().coeffRef(rowOffset(), colOffset())); }
inline const Scalar* data() const { return &(m_matrix.const_cast_derived().coeffRef(rowOffset(), colOffset())); }
inline Scalar& coeffRef(Index row, Index)
{
EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
@@ -145,7 +141,7 @@ template<typename MatrixType, int DiagIndex> class Diagonal
}
protected:
const typename MatrixType::Nested m_matrix;
typename MatrixType::Nested m_matrix;
const internal::variable_if_dynamic<Index, DiagIndex> m_index;
private:
@@ -235,4 +231,6 @@ MatrixBase<Derived>::diagonal() const
return derived();
}
} // end namespace Eigen
#endif // EIGEN_DIAGONAL_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_DIAGONALMATRIX_H
#define EIGEN_DIAGONALMATRIX_H
namespace Eigen {
#ifndef EIGEN_PARSED_BY_DOXYGEN
template<typename Derived>
class DiagonalBase : public EigenBase<Derived>
@@ -33,6 +20,7 @@ class DiagonalBase : public EigenBase<Derived>
public:
typedef typename internal::traits<Derived>::DiagonalVectorType DiagonalVectorType;
typedef typename DiagonalVectorType::Scalar Scalar;
typedef typename DiagonalVectorType::RealScalar RealScalar;
typedef typename internal::traits<Derived>::StorageKind StorageKind;
typedef typename internal::traits<Derived>::Index Index;
@@ -72,12 +60,23 @@ class DiagonalBase : public EigenBase<Derived>
const DiagonalProduct<MatrixDerived, Derived, OnTheLeft>
operator*(const MatrixBase<MatrixDerived> &matrix) const;
inline const DiagonalWrapper<CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const DiagonalVectorType> >
inline const DiagonalWrapper<const CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const DiagonalVectorType> >
inverse() const
{
return diagonal().cwiseInverse();
}
inline const DiagonalWrapper<const CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DiagonalVectorType> >
operator*(const Scalar& scalar) const
{
return diagonal() * scalar;
}
friend inline const DiagonalWrapper<const CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DiagonalVectorType> >
operator*(const Scalar& scalar, const DiagonalBase& other)
{
return other.diagonal() * scalar;
}
#ifdef EIGEN2_SUPPORT
template<typename OtherDerived>
bool isApprox(const DiagonalBase<OtherDerived>& other, typename NumTraits<Scalar>::Real precision = NumTraits<Scalar>::dummy_precision()) const
@@ -251,13 +250,13 @@ class DiagonalWrapper
#endif
/** Constructor from expression of diagonal coefficients to wrap. */
inline DiagonalWrapper(const DiagonalVectorType& diagonal) : m_diagonal(diagonal) {}
inline DiagonalWrapper(DiagonalVectorType& diagonal) : m_diagonal(diagonal) {}
/** \returns a const reference to the wrapped expression of diagonal coefficients. */
const DiagonalVectorType& diagonal() const { return m_diagonal; }
protected:
const typename DiagonalVectorType::Nested m_diagonal;
typename DiagonalVectorType::Nested m_diagonal;
};
/** \returns a pseudo-expression of a diagonal matrix with *this as vector of diagonal coefficients
@@ -303,4 +302,6 @@ bool MatrixBase<Derived>::isDiagonal(RealScalar prec) const
return true;
}
} // end namespace Eigen
#endif // EIGEN_DIAGONALMATRIX_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_DIAGONALPRODUCT_H
#define EIGEN_DIAGONALPRODUCT_H
namespace Eigen {
namespace internal {
template<typename MatrixType, typename DiagonalType, int ProductOrder>
struct traits<DiagonalProduct<MatrixType, DiagonalType, ProductOrder> >
@@ -107,8 +94,8 @@ class DiagonalProduct : internal::no_assignment_operator,
m_diagonal.diagonal().template packet<DiagonalVectorPacketLoadMode>(id));
}
const typename MatrixType::Nested m_matrix;
const typename DiagonalType::Nested m_diagonal;
typename MatrixType::Nested m_matrix;
typename DiagonalType::Nested m_diagonal;
};
/** \returns the diagonal matrix product of \c *this by the diagonal matrix \a diagonal.
@@ -131,5 +118,6 @@ DiagonalBase<DiagonalDerived>::operator*(const MatrixBase<MatrixDerived> &matrix
return DiagonalProduct<MatrixDerived, DiagonalDerived, OnTheLeft>(matrix.derived(), derived());
}
} // end namespace Eigen
#endif // EIGEN_DIAGONALPRODUCT_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2006-2008, 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_DOT_H
#define EIGEN_DOT_H
namespace Eigen {
namespace internal {
// helper function for dot(). The problem is that if we put that in the body of dot(), then upon calling dot
@@ -176,7 +163,7 @@ template<typename Derived, int p>
struct lpNorm_selector
{
typedef typename NumTraits<typename traits<Derived>::Scalar>::Real RealScalar;
inline static RealScalar run(const MatrixBase<Derived>& m)
static inline RealScalar run(const MatrixBase<Derived>& m)
{
return pow(m.cwiseAbs().array().pow(p).sum(), RealScalar(1)/p);
}
@@ -185,7 +172,7 @@ struct lpNorm_selector
template<typename Derived>
struct lpNorm_selector<Derived, 1>
{
inline static typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
static inline typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
{
return m.cwiseAbs().sum();
}
@@ -194,7 +181,7 @@ struct lpNorm_selector<Derived, 1>
template<typename Derived>
struct lpNorm_selector<Derived, 2>
{
inline static typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
static inline typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
{
return m.norm();
}
@@ -203,7 +190,7 @@ struct lpNorm_selector<Derived, 2>
template<typename Derived>
struct lpNorm_selector<Derived, Infinity>
{
inline static typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
static inline typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
{
return m.cwiseAbs().maxCoeff();
}
@@ -269,4 +256,6 @@ bool MatrixBase<Derived>::isUnitary(RealScalar prec) const
return true;
}
} // end namespace Eigen
#endif // EIGEN_DOT_H

View File

@@ -4,28 +4,14 @@
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_EIGENBASE_H
#define EIGEN_EIGENBASE_H
namespace Eigen {
/** Common base class for all classes T such that MatrixBase has an operator=(T) and a constructor MatrixBase(T).
*
@@ -169,4 +155,6 @@ inline void MatrixBase<Derived>::applyOnTheLeft(const EigenBase<OtherDerived> &o
other.derived().applyThisOnTheLeft(derived());
}
} // end namespace Eigen
#endif // EIGEN_EIGENBASE_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_FLAGGED_H
#define EIGEN_FLAGGED_H
namespace Eigen {
/** \class Flagged
* \ingroup Core_Module
*
@@ -148,4 +135,6 @@ DenseBase<Derived>::flagged() const
return derived();
}
} // end namespace Eigen
#endif // EIGEN_FLAGGED_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_FORCEALIGNEDACCESS_H
#define EIGEN_FORCEALIGNEDACCESS_H
namespace Eigen {
/** \class ForceAlignedAccess
* \ingroup Core_Module
*
@@ -154,4 +141,6 @@ MatrixBase<Derived>::forceAlignedAccessIf()
return derived();
}
} // end namespace Eigen
#endif // EIGEN_FORCEALIGNEDACCESS_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_FUNCTORS_H
#define EIGEN_FUNCTORS_H
namespace Eigen {
namespace internal {
// associative functors:
@@ -178,6 +165,18 @@ struct functor_traits<scalar_hypot_op<Scalar> > {
enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess=0 };
};
/** \internal
* \brief Template functor to compute the pow of two scalars
*/
template<typename Scalar, typename OtherScalar> struct scalar_binary_pow_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_binary_pow_op)
inline Scalar operator() (const Scalar& a, const OtherScalar& b) const { return internal::pow(a, b); }
};
template<typename Scalar, typename OtherScalar>
struct functor_traits<scalar_binary_pow_op<Scalar,OtherScalar> > {
enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false };
};
// other binary functors:
/** \internal
@@ -281,7 +280,7 @@ struct functor_traits<scalar_opposite_op<Scalar> >
template<typename Scalar> struct scalar_abs_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_abs_op)
typedef typename NumTraits<Scalar>::Real result_type;
EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a) const { return abs(a); }
EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a) const { return internal::abs(a); }
template<typename Packet>
EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
{ return internal::pabs(a); }
@@ -303,7 +302,7 @@ struct functor_traits<scalar_abs_op<Scalar> >
template<typename Scalar> struct scalar_abs2_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_abs2_op)
typedef typename NumTraits<Scalar>::Real result_type;
EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a) const { return abs2(a); }
EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a) const { return internal::abs2(a); }
template<typename Packet>
EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
{ return internal::pmul(a,a); }
@@ -319,7 +318,7 @@ struct functor_traits<scalar_abs2_op<Scalar> >
*/
template<typename Scalar> struct scalar_conjugate_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_conjugate_op)
EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { return conj(a); }
EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { return internal::conj(a); }
template<typename Packet>
EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const { return internal::pconj(a); }
};
@@ -356,7 +355,7 @@ template<typename Scalar>
struct scalar_real_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_real_op)
typedef typename NumTraits<Scalar>::Real result_type;
EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return real(a); }
EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return internal::real(a); }
};
template<typename Scalar>
struct functor_traits<scalar_real_op<Scalar> >
@@ -371,7 +370,7 @@ template<typename Scalar>
struct scalar_imag_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_imag_op)
typedef typename NumTraits<Scalar>::Real result_type;
EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return imag(a); }
EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return internal::imag(a); }
};
template<typename Scalar>
struct functor_traits<scalar_imag_op<Scalar> >
@@ -386,7 +385,7 @@ template<typename Scalar>
struct scalar_real_ref_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_real_ref_op)
typedef typename NumTraits<Scalar>::Real result_type;
EIGEN_STRONG_INLINE result_type& operator() (const Scalar& a) const { return real_ref(*const_cast<Scalar*>(&a)); }
EIGEN_STRONG_INLINE result_type& operator() (const Scalar& a) const { return internal::real_ref(*const_cast<Scalar*>(&a)); }
};
template<typename Scalar>
struct functor_traits<scalar_real_ref_op<Scalar> >
@@ -401,7 +400,7 @@ template<typename Scalar>
struct scalar_imag_ref_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_imag_ref_op)
typedef typename NumTraits<Scalar>::Real result_type;
EIGEN_STRONG_INLINE result_type& operator() (const Scalar& a) const { return imag_ref(*const_cast<Scalar*>(&a)); }
EIGEN_STRONG_INLINE result_type& operator() (const Scalar& a) const { return internal::imag_ref(*const_cast<Scalar*>(&a)); }
};
template<typename Scalar>
struct functor_traits<scalar_imag_ref_op<Scalar> >
@@ -415,7 +414,7 @@ struct functor_traits<scalar_imag_ref_op<Scalar> >
*/
template<typename Scalar> struct scalar_exp_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_exp_op)
inline const Scalar operator() (const Scalar& a) const { return exp(a); }
inline const Scalar operator() (const Scalar& a) const { return internal::exp(a); }
typedef typename packet_traits<Scalar>::type Packet;
inline Packet packetOp(const Packet& a) const { return internal::pexp(a); }
};
@@ -431,7 +430,7 @@ struct functor_traits<scalar_exp_op<Scalar> >
*/
template<typename Scalar> struct scalar_log_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_log_op)
inline const Scalar operator() (const Scalar& a) const { return log(a); }
inline const Scalar operator() (const Scalar& a) const { return internal::log(a); }
typedef typename packet_traits<Scalar>::type Packet;
inline Packet packetOp(const Packet& a) const { return internal::plog(a); }
};
@@ -448,7 +447,7 @@ struct functor_traits<scalar_log_op<Scalar> >
* indeed it seems better to declare m_other as a Packet and do the pset1() once
* in the constructor. However, in practice:
* - GCC does not like m_other as a Packet and generate a load every time it needs it
* - on the other hand GCC is able to moves the pset1() away the loop :)
* - on the other hand GCC is able to moves the pset1() outside the loop :)
* - simpler code ;)
* (ICC and gcc 4.4 seems to perform well in both cases, the issue is visible with y = a*x + b*y)
*/
@@ -479,33 +478,6 @@ template<typename Scalar1,typename Scalar2>
struct functor_traits<scalar_multiple2_op<Scalar1,Scalar2> >
{ enum { Cost = NumTraits<Scalar1>::MulCost, PacketAccess = false }; };
template<typename Scalar, bool IsInteger>
struct scalar_quotient1_impl {
typedef typename packet_traits<Scalar>::type Packet;
// FIXME default copy constructors seems bugged with std::complex<>
EIGEN_STRONG_INLINE scalar_quotient1_impl(const scalar_quotient1_impl& other) : m_other(other.m_other) { }
EIGEN_STRONG_INLINE scalar_quotient1_impl(const Scalar& other) : m_other(static_cast<Scalar>(1) / other) {}
EIGEN_STRONG_INLINE Scalar operator() (const Scalar& a) const { return a * m_other; }
EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
{ return internal::pmul(a, pset1<Packet>(m_other)); }
const Scalar m_other;
};
template<typename Scalar>
struct functor_traits<scalar_quotient1_impl<Scalar,false> >
{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasMul }; };
template<typename Scalar>
struct scalar_quotient1_impl<Scalar,true> {
// FIXME default copy constructors seems bugged with std::complex<>
EIGEN_STRONG_INLINE scalar_quotient1_impl(const scalar_quotient1_impl& other) : m_other(other.m_other) { }
EIGEN_STRONG_INLINE scalar_quotient1_impl(const Scalar& other) : m_other(other) {}
EIGEN_STRONG_INLINE Scalar operator() (const Scalar& a) const { return a / m_other; }
typename add_const_on_value_type<typename NumTraits<Scalar>::Nested>::type m_other;
};
template<typename Scalar>
struct functor_traits<scalar_quotient1_impl<Scalar,true> >
{ enum { Cost = 2 * NumTraits<Scalar>::MulCost, PacketAccess = false }; };
/** \internal
* \brief Template functor to divide a scalar by a fixed other one
*
@@ -515,14 +487,19 @@ struct functor_traits<scalar_quotient1_impl<Scalar,true> >
* \sa class CwiseUnaryOp, MatrixBase::operator/
*/
template<typename Scalar>
struct scalar_quotient1_op : scalar_quotient1_impl<Scalar, NumTraits<Scalar>::IsInteger > {
EIGEN_STRONG_INLINE scalar_quotient1_op(const Scalar& other)
: scalar_quotient1_impl<Scalar, NumTraits<Scalar>::IsInteger >(other) {}
struct scalar_quotient1_op {
typedef typename packet_traits<Scalar>::type Packet;
// FIXME default copy constructors seems bugged with std::complex<>
EIGEN_STRONG_INLINE scalar_quotient1_op(const scalar_quotient1_op& other) : m_other(other.m_other) { }
EIGEN_STRONG_INLINE scalar_quotient1_op(const Scalar& other) : m_other(other) {}
EIGEN_STRONG_INLINE Scalar operator() (const Scalar& a) const { return a / m_other; }
EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
{ return internal::pdiv(a, pset1<Packet>(m_other)); }
typename add_const_on_value_type<typename NumTraits<Scalar>::Nested>::type m_other;
};
template<typename Scalar>
struct functor_traits<scalar_quotient1_op<Scalar> >
: functor_traits<scalar_quotient1_impl<Scalar, NumTraits<Scalar>::IsInteger> >
{};
{ enum { Cost = 2 * NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasDiv }; };
// nullary functors
@@ -616,7 +593,7 @@ template <typename Scalar, bool RandomAccess> struct functor_traits< linspaced_o
template <typename Scalar, bool RandomAccess> struct linspaced_op
{
typedef typename packet_traits<Scalar>::type Packet;
linspaced_op(Scalar low, Scalar high, int num_steps) : impl(low, (high-low)/(num_steps-1)) {}
linspaced_op(Scalar low, Scalar high, int num_steps) : impl((num_steps==1 ? high : low), (num_steps==1 ? Scalar() : (high-low)/(num_steps-1))) {}
template<typename Index>
EIGEN_STRONG_INLINE const Scalar operator() (Index i) const { return impl(i); }
@@ -689,7 +666,7 @@ struct functor_traits<scalar_add_op<Scalar> >
*/
template<typename Scalar> struct scalar_sqrt_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_sqrt_op)
inline const Scalar operator() (const Scalar& a) const { return sqrt(a); }
inline const Scalar operator() (const Scalar& a) const { return internal::sqrt(a); }
typedef typename packet_traits<Scalar>::type Packet;
inline Packet packetOp(const Packet& a) const { return internal::psqrt(a); }
};
@@ -707,7 +684,7 @@ struct functor_traits<scalar_sqrt_op<Scalar> >
*/
template<typename Scalar> struct scalar_cos_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_cos_op)
inline Scalar operator() (const Scalar& a) const { return cos(a); }
inline Scalar operator() (const Scalar& a) const { return internal::cos(a); }
typedef typename packet_traits<Scalar>::type Packet;
inline Packet packetOp(const Packet& a) const { return internal::pcos(a); }
};
@@ -726,7 +703,7 @@ struct functor_traits<scalar_cos_op<Scalar> >
*/
template<typename Scalar> struct scalar_sin_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_sin_op)
inline const Scalar operator() (const Scalar& a) const { return sin(a); }
inline const Scalar operator() (const Scalar& a) const { return internal::sin(a); }
typedef typename packet_traits<Scalar>::type Packet;
inline Packet packetOp(const Packet& a) const { return internal::psin(a); }
};
@@ -746,7 +723,7 @@ struct functor_traits<scalar_sin_op<Scalar> >
*/
template<typename Scalar> struct scalar_tan_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_tan_op)
inline const Scalar operator() (const Scalar& a) const { return tan(a); }
inline const Scalar operator() (const Scalar& a) const { return internal::tan(a); }
typedef typename packet_traits<Scalar>::type Packet;
inline Packet packetOp(const Packet& a) const { return internal::ptan(a); }
};
@@ -765,7 +742,7 @@ struct functor_traits<scalar_tan_op<Scalar> >
*/
template<typename Scalar> struct scalar_acos_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_acos_op)
inline const Scalar operator() (const Scalar& a) const { return acos(a); }
inline const Scalar operator() (const Scalar& a) const { return internal::acos(a); }
typedef typename packet_traits<Scalar>::type Packet;
inline Packet packetOp(const Packet& a) const { return internal::pacos(a); }
};
@@ -784,7 +761,7 @@ struct functor_traits<scalar_acos_op<Scalar> >
*/
template<typename Scalar> struct scalar_asin_op {
EIGEN_EMPTY_STRUCT_CTOR(scalar_asin_op)
inline const Scalar operator() (const Scalar& a) const { return asin(a); }
inline const Scalar operator() (const Scalar& a) const { return internal::asin(a); }
typedef typename packet_traits<Scalar>::type Packet;
inline Packet packetOp(const Packet& a) const { return internal::pasin(a); }
};
@@ -813,6 +790,20 @@ template<typename Scalar>
struct functor_traits<scalar_pow_op<Scalar> >
{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false }; };
/** \internal
* \brief Template functor to compute the quotient between a scalar and array entries.
* \sa class CwiseUnaryOp, Cwise::inverse()
*/
template<typename Scalar>
struct scalar_inverse_mult_op {
scalar_inverse_mult_op(const Scalar& other) : m_other(other) {}
inline Scalar operator() (const Scalar& a) const { return m_other / a; }
template<typename Packet>
inline const Packet packetOp(const Packet& a) const
{ return internal::pdiv(pset1<Packet>(m_other),a); }
Scalar m_other;
};
/** \internal
* \brief Template functor to compute the inverse of a scalar
* \sa class CwiseUnaryOp, Cwise::inverse()
@@ -971,4 +962,6 @@ struct functor_traits<std::binary_compose<T0,T1,T2> >
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_FUNCTORS_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_FUZZY_H
#define EIGEN_FUZZY_H
namespace Eigen {
namespace internal
{
@@ -35,8 +22,8 @@ struct isApprox_selector
static bool run(const Derived& x, const OtherDerived& y, typename Derived::RealScalar prec)
{
using std::min;
const typename internal::nested<Derived,2>::type nested(x);
const typename internal::nested<OtherDerived,2>::type otherNested(y);
typename internal::nested<Derived,2>::type nested(x);
typename internal::nested<OtherDerived,2>::type otherNested(y);
return (nested - otherNested).cwiseAbs2().sum() <= prec * prec * (min)(nested.cwiseAbs2().sum(), otherNested.cwiseAbs2().sum());
}
};
@@ -158,4 +145,6 @@ bool DenseBase<Derived>::isMuchSmallerThan(
return internal::isMuchSmallerThan_object_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
}
} // end namespace Eigen
#endif // EIGEN_FUZZY_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_GENERAL_PRODUCT_H
#define EIGEN_GENERAL_PRODUCT_H
namespace Eigen {
/** \class GeneralProduct
* \ingroup Core_Module
*
@@ -410,8 +397,8 @@ template<> struct gemv_selector<OnTheRight,ColMajor,true>
typedef typename ProductType::RhsBlasTraits RhsBlasTraits;
typedef Map<Matrix<ResScalar,Dynamic,1>, Aligned> MappedDest;
const ActualLhsType actualLhs = LhsBlasTraits::extract(prod.lhs());
const ActualRhsType actualRhs = RhsBlasTraits::extract(prod.rhs());
ActualLhsType actualLhs = LhsBlasTraits::extract(prod.lhs());
ActualRhsType actualRhs = RhsBlasTraits::extract(prod.rhs());
ResScalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs())
* RhsBlasTraits::extractScalarFactor(prod.rhs());
@@ -452,7 +439,7 @@ template<> struct gemv_selector<OnTheRight,ColMajor,true>
general_matrix_vector_product
<Index,LhsScalar,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsBlasTraits::NeedToConjugate>::run(
actualLhs.rows(), actualLhs.cols(),
&actualLhs.coeffRef(0,0), actualLhs.outerStride(),
actualLhs.data(), actualLhs.outerStride(),
actualRhs.data(), actualRhs.innerStride(),
actualDestPtr, 1,
compatibleAlpha);
@@ -511,9 +498,9 @@ template<> struct gemv_selector<OnTheRight,RowMajor,true>
general_matrix_vector_product
<Index,LhsScalar,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsBlasTraits::NeedToConjugate>::run(
actualLhs.rows(), actualLhs.cols(),
&actualLhs.coeffRef(0,0), actualLhs.outerStride(),
actualLhs.data(), actualLhs.outerStride(),
actualRhsPtr, 1,
&dest.coeffRef(0,0), dest.innerStride(),
dest.data(), dest.innerStride(),
actualAlpha);
}
};
@@ -558,7 +545,7 @@ template<> struct gemv_selector<OnTheRight,RowMajor,false>
*/
template<typename Derived>
template<typename OtherDerived>
inline const typename ProductReturnType<Derived,OtherDerived>::Type
inline const typename ProductReturnType<Derived, OtherDerived>::Type
MatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
{
// A note regarding the function declaration: In MSVC, this function will sometimes
@@ -621,4 +608,6 @@ MatrixBase<Derived>::lazyProduct(const MatrixBase<OtherDerived> &other) const
return typename LazyProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());
}
} // end namespace Eigen
#endif // EIGEN_PRODUCT_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_GENERIC_PACKET_MATH_H
#define EIGEN_GENERIC_PACKET_MATH_H
namespace Eigen {
namespace internal {
/** \internal
@@ -312,7 +299,7 @@ template<int Offset,typename PacketType>
struct palign_impl
{
// by default data are aligned, so there is nothing to be done :)
inline static void run(PacketType&, const PacketType&) {}
static inline void run(PacketType&, const PacketType&) {}
};
/** \internal update \a first using the concatenation of the \a Offset last elements
@@ -335,5 +322,7 @@ template<> inline std::complex<double> pmul(const std::complex<double>& a, const
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_GENERIC_PACKET_MATH_H

View File

@@ -4,24 +4,9 @@
// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_GLOBAL_FUNCTIONS_H
#define EIGEN_GLOBAL_FUNCTIONS_H
@@ -66,13 +51,36 @@ namespace std
template<typename Derived>
inline const Eigen::CwiseUnaryOp<Eigen::internal::scalar_pow_op<typename Derived::Scalar>, const Derived>
pow(const Eigen::ArrayBase<Derived>& x, const typename Derived::Scalar& exponent) { \
return x.derived().pow(exponent); \
pow(const Eigen::ArrayBase<Derived>& x, const typename Derived::Scalar& exponent) {
return x.derived().pow(exponent);
}
template<typename Derived>
inline const Eigen::CwiseBinaryOp<Eigen::internal::scalar_binary_pow_op<typename Derived::Scalar, typename Derived::Scalar>, const Derived, const Derived>
pow(const Eigen::ArrayBase<Derived>& x, const Eigen::ArrayBase<Derived>& exponents)
{
return Eigen::CwiseBinaryOp<Eigen::internal::scalar_binary_pow_op<typename Derived::Scalar, typename Derived::Scalar>, const Derived, const Derived>(
x.derived(),
exponents.derived()
);
}
}
namespace Eigen
{
/**
* \brief Component-wise division of a scalar by array elements.
**/
template <typename Derived>
inline const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_mult_op<typename Derived::Scalar>, const Derived>
operator/(typename Derived::Scalar s, const Eigen::ArrayBase<Derived>& a)
{
return Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_mult_op<typename Derived::Scalar>, const Derived>(
a.derived(),
Eigen::internal::scalar_inverse_mult_op<typename Derived::Scalar>(s)
);
}
namespace internal
{
EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(real,scalar_real_op)

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_IO_H
#define EIGEN_IO_H
namespace Eigen {
enum { DontAlignCols = 1 };
enum { StreamPrecision = -1,
FullPrecision = -2 };
@@ -171,7 +158,7 @@ std::ostream & print_matrix(std::ostream & s, const Derived& _m, const IOFormat&
return s;
}
const typename Derived::Nested m = _m;
typename Derived::Nested m = _m;
typedef typename Derived::Scalar Scalar;
typedef typename Derived::Index Index;
@@ -257,4 +244,6 @@ std::ostream & operator <<
return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
}
} // end namespace Eigen
#endif // EIGEN_IO_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_MAP_H
#define EIGEN_MAP_H
namespace Eigen {
/** \class Map
* \ingroup Core_Module
*
@@ -102,7 +89,7 @@ struct traits<Map<PlainObjectType, MapOptions, StrideType> >
|| HasNoOuterStride
|| ( OuterStrideAtCompileTime!=Dynamic
&& ((static_cast<int>(sizeof(Scalar))*OuterStrideAtCompileTime)%16)==0 ) ),
Flags0 = TraitsBase::Flags,
Flags0 = TraitsBase::Flags & (~NestByRefBit),
Flags1 = IsAligned ? (int(Flags0) | AlignedBit) : (int(Flags0) & ~AlignedBit),
Flags2 = (bool(HasNoStride) || bool(PlainObjectType::IsVectorAtCompileTime))
? int(Flags1) : int(Flags1 & ~LinearAccessBit),
@@ -120,7 +107,6 @@ template<typename PlainObjectType, int MapOptions, typename StrideType> class Ma
public:
typedef MapBase<Map> Base;
EIGEN_DENSE_PUBLIC_INTERFACE(Map)
typedef typename Base::PointerType PointerType;
@@ -181,7 +167,6 @@ template<typename PlainObjectType, int MapOptions, typename StrideType> class Ma
PlainObjectType::Base::_check_template_params();
}
EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Map)
protected:
@@ -202,4 +187,6 @@ inline Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>
this->_set_noalias(Eigen::Map<const Matrix>(data));
}
} // end namespace Eigen
#endif // EIGEN_MAP_H

View File

@@ -4,24 +4,9 @@
// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_MAPBASE_H
#define EIGEN_MAPBASE_H
@@ -30,6 +15,7 @@
EIGEN_STATIC_ASSERT((int(internal::traits<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
YOU_ARE_TRYING_TO_USE_AN_INDEX_BASED_ACCESSOR_ON_AN_EXPRESSION_THAT_DOES_NOT_SUPPORT_THAT)
namespace Eigen {
/** \class MapBase
* \ingroup Core_Module
@@ -251,5 +237,6 @@ template<typename Derived> class MapBase<Derived, WriteAccessors>
using Base::Base::operator=;
};
} // end namespace Eigen
#endif // EIGEN_MAPBASE_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_MATHFUNCTIONS_H
#define EIGEN_MATHFUNCTIONS_H
namespace Eigen {
namespace internal {
/** \internal \struct global_math_functions_filtering_base
@@ -552,7 +539,7 @@ struct pow_default_impl<Scalar, true>
{
static inline Scalar run(Scalar x, Scalar y)
{
Scalar res = 1;
Scalar res(1);
eigen_assert(!NumTraits<Scalar>::IsSigned || y >= 0);
if(y & 1) res *= x;
y >>= 1;
@@ -837,6 +824,19 @@ template<> struct scalar_fuzzy_impl<bool>
};
/****************************************************************************
* Special functions *
****************************************************************************/
// std::isfinite is non standard, so let's define our own version,
// even though it is not very efficient.
template<typename T> bool (isfinite)(const T& x)
{
return x<NumTraits<T>::highest() && x>NumTraits<T>::lowest();
}
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_MATHFUNCTIONS_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_MATRIX_H
#define EIGEN_MATRIX_H
namespace Eigen {
/** \class Matrix
* \ingroup Core_Module
*
@@ -413,4 +400,6 @@ EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
#undef EIGEN_MAKE_TYPEDEFS
#undef EIGEN_MAKE_FIXED_TYPEDEFS
} // end namespace Eigen
#endif // EIGEN_MATRIX_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_MATRIXBASE_H
#define EIGEN_MATRIXBASE_H
namespace Eigen {
/** \class MatrixBase
* \ingroup Core_Module
*
@@ -250,7 +237,7 @@ template<typename Derived> class MatrixBase
// huuuge hack. make Eigen2's matrix.part<Diagonal>() work in eigen3. Problem: Diagonal is now a class template instead
// of an integer constant. Solution: overload the part() method template wrt template parameters list.
template<template<typename T, int n> class U>
template<template<typename T, int N> class U>
const DiagonalWrapper<ConstDiagonalReturnType> part() const
{ return diagonal().asDiagonal(); }
#endif // EIGEN2_SUPPORT
@@ -330,7 +317,7 @@ template<typename Derived> class MatrixBase
/** \returns an \link ArrayBase Array \endlink expression of this matrix
* \sa ArrayBase::matrix() */
ArrayWrapper<Derived> array() { return derived(); }
const ArrayWrapper<Derived> array() const { return derived(); }
const ArrayWrapper<const Derived> array() const { return derived(); }
/////////// LU module ///////////
@@ -513,10 +500,12 @@ template<typename Derived> class MatrixBase
protected:
// mixing arrays and matrices is not legal
template<typename OtherDerived> Derived& operator+=(const ArrayBase<OtherDerived>& )
{EIGEN_STATIC_ASSERT(sizeof(typename OtherDerived::Scalar)==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES);}
{EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
// mixing arrays and matrices is not legal
template<typename OtherDerived> Derived& operator-=(const ArrayBase<OtherDerived>& )
{EIGEN_STATIC_ASSERT(sizeof(typename OtherDerived::Scalar)==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES);}
{EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
};
} // end namespace Eigen
#endif // EIGEN_MATRIXBASE_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_NESTBYVALUE_H
#define EIGEN_NESTBYVALUE_H
namespace Eigen {
/** \class NestByValue
* \ingroup Core_Module
*
@@ -119,4 +106,6 @@ DenseBase<Derived>::nestByValue() const
return NestByValue<Derived>(derived());
}
} // end namespace Eigen
#endif // EIGEN_NESTBYVALUE_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_NOALIAS_H
#define EIGEN_NOALIAS_H
namespace Eigen {
/** \class NoAlias
* \ingroup Core_Module
*
@@ -133,4 +120,6 @@ NoAlias<Derived,MatrixBase> MatrixBase<Derived>::noalias()
return derived();
}
} // end namespace Eigen
#endif // EIGEN_NOALIAS_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_NUMTRAITS_H
#define EIGEN_NUMTRAITS_H
namespace Eigen {
/** \class NumTraits
* \ingroup Core_Module
*
@@ -81,14 +68,14 @@ template<typename T> struct GenericNumTraits
>::type NonInteger;
typedef T Nested;
inline static Real epsilon() { return std::numeric_limits<T>::epsilon(); }
inline static Real dummy_precision()
static inline Real epsilon() { return std::numeric_limits<T>::epsilon(); }
static inline Real dummy_precision()
{
// make sure to override this for floating-point types
return Real(0);
}
inline static T highest() { return (std::numeric_limits<T>::max)(); }
inline static T lowest() { return IsInteger ? (std::numeric_limits<T>::min)() : (-(std::numeric_limits<T>::max)()); }
static inline T highest() { return (std::numeric_limits<T>::max)(); }
static inline T lowest() { return IsInteger ? (std::numeric_limits<T>::min)() : (-(std::numeric_limits<T>::max)()); }
#ifdef EIGEN2_SUPPORT
enum {
@@ -104,12 +91,12 @@ template<typename T> struct NumTraits : GenericNumTraits<T>
template<> struct NumTraits<float>
: GenericNumTraits<float>
{
inline static float dummy_precision() { return 1e-5f; }
static inline float dummy_precision() { return 1e-5f; }
};
template<> struct NumTraits<double> : GenericNumTraits<double>
{
inline static double dummy_precision() { return 1e-12; }
static inline double dummy_precision() { return 1e-12; }
};
template<> struct NumTraits<long double>
@@ -130,8 +117,8 @@ template<typename _Real> struct NumTraits<std::complex<_Real> >
MulCost = 4 * NumTraits<Real>::MulCost + 2 * NumTraits<Real>::AddCost
};
inline static Real epsilon() { return NumTraits<Real>::epsilon(); }
inline static Real dummy_precision() { return NumTraits<Real>::dummy_precision(); }
static inline Real epsilon() { return NumTraits<Real>::epsilon(); }
static inline Real dummy_precision() { return NumTraits<Real>::dummy_precision(); }
};
template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
@@ -155,6 +142,6 @@ struct NumTraits<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
};
};
} // end namespace Eigen
#endif // EIGEN_NUMTRAITS_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2009-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_PERMUTATIONMATRIX_H
#define EIGEN_PERMUTATIONMATRIX_H
namespace Eigen {
template<int RowCol,typename IndicesType,typename MatrixType, typename StorageKind> class PermutedImpl;
/** \class PermutationBase
@@ -56,6 +43,8 @@ namespace internal {
template<typename PermutationType, typename MatrixType, int Side, bool Transposed=false>
struct permut_matrix_product_retval;
template<typename PermutationType, typename MatrixType, int Side, bool Transposed=false>
struct permut_sparsematrix_product_retval;
enum PermPermProduct_t {PermPermProduct};
} // end namespace internal
@@ -511,7 +500,7 @@ class PermutationWrapper : public PermutationBase<PermutationWrapper<_IndicesTyp
protected:
const typename IndicesType::Nested m_indices;
typename IndicesType::Nested m_indices;
};
/** \returns the matrix with the permutation applied to the columns.
@@ -608,7 +597,7 @@ struct permut_matrix_product_retval
protected:
const PermutationType& m_permutation;
const typename MatrixType::Nested m_matrix;
typename MatrixType::Nested m_matrix;
};
/* Template partial specialization for transposed/inverse permutations */
@@ -693,4 +682,6 @@ const PermutationWrapper<const Derived> MatrixBase<Derived>::asPermutation() con
return derived();
}
} // end namespace Eigen
#endif // EIGEN_PERMUTATIONMATRIX_H

View File

@@ -4,24 +4,9 @@
// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_DENSESTORAGEBASE_H
#define EIGEN_DENSESTORAGEBASE_H
@@ -32,6 +17,8 @@
# define EIGEN_INITIALIZE_BY_ZERO_IF_THAT_OPTION_IS_ENABLED
#endif
namespace Eigen {
namespace internal {
template<typename Index>
@@ -47,13 +34,13 @@ EIGEN_ALWAYS_INLINE void check_rows_cols_for_overflow(Index rows, Index cols)
throw_std_bad_alloc();
}
template <typename Derived, typename OtherDerived = Derived, bool IsVector = static_cast<bool>(Derived::IsVectorAtCompileTime)> struct conservative_resize_like_impl;
template <typename Derived, typename OtherDerived = Derived, bool IsVector = bool(Derived::IsVectorAtCompileTime)> struct conservative_resize_like_impl;
template<typename MatrixTypeA, typename MatrixTypeB, bool SwapPointers> struct matrix_swap_impl;
} // end namespace internal
/**
/** \class PlainObjectBase
* \brief %Dense storage base class for matrices and arrays.
*
* This class can be extended with the help of the plugin mechanism described on the page
@@ -61,8 +48,29 @@ template<typename MatrixTypeA, typename MatrixTypeB, bool SwapPointers> struct m
*
* \sa \ref TopicClassHierarchy
*/
#ifdef EIGEN_PARSED_BY_DOXYGEN
namespace internal {
// this is a warkaround to doxygen not being able to understand the inheritence logic
// when it is hidden by the dense_xpr_base helper struct.
template<typename Derived> struct dense_xpr_base_dispatcher_for_doxygen;// : public MatrixBase<Derived> {};
/** This class is just a workaround for Doxygen and it does not not actually exist. */
template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
struct dense_xpr_base_dispatcher_for_doxygen<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
: public MatrixBase<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > {};
/** This class is just a workaround for Doxygen and it does not not actually exist. */
template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
struct dense_xpr_base_dispatcher_for_doxygen<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
: public ArrayBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > {};
} // namespace internal
template<typename Derived>
class PlainObjectBase : public internal::dense_xpr_base_dispatcher_for_doxygen<Derived>
#else
template<typename Derived>
class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
#endif
{
public:
enum { Options = internal::traits<Derived>::Options };
@@ -443,68 +451,68 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
* \see class Map
*/
//@{
inline static ConstMapType Map(const Scalar* data)
static inline ConstMapType Map(const Scalar* data)
{ return ConstMapType(data); }
inline static MapType Map(Scalar* data)
static inline MapType Map(Scalar* data)
{ return MapType(data); }
inline static ConstMapType Map(const Scalar* data, Index size)
static inline ConstMapType Map(const Scalar* data, Index size)
{ return ConstMapType(data, size); }
inline static MapType Map(Scalar* data, Index size)
static inline MapType Map(Scalar* data, Index size)
{ return MapType(data, size); }
inline static ConstMapType Map(const Scalar* data, Index rows, Index cols)
static inline ConstMapType Map(const Scalar* data, Index rows, Index cols)
{ return ConstMapType(data, rows, cols); }
inline static MapType Map(Scalar* data, Index rows, Index cols)
static inline MapType Map(Scalar* data, Index rows, Index cols)
{ return MapType(data, rows, cols); }
inline static ConstAlignedMapType MapAligned(const Scalar* data)
static inline ConstAlignedMapType MapAligned(const Scalar* data)
{ return ConstAlignedMapType(data); }
inline static AlignedMapType MapAligned(Scalar* data)
static inline AlignedMapType MapAligned(Scalar* data)
{ return AlignedMapType(data); }
inline static ConstAlignedMapType MapAligned(const Scalar* data, Index size)
static inline ConstAlignedMapType MapAligned(const Scalar* data, Index size)
{ return ConstAlignedMapType(data, size); }
inline static AlignedMapType MapAligned(Scalar* data, Index size)
static inline AlignedMapType MapAligned(Scalar* data, Index size)
{ return AlignedMapType(data, size); }
inline static ConstAlignedMapType MapAligned(const Scalar* data, Index rows, Index cols)
static inline ConstAlignedMapType MapAligned(const Scalar* data, Index rows, Index cols)
{ return ConstAlignedMapType(data, rows, cols); }
inline static AlignedMapType MapAligned(Scalar* data, Index rows, Index cols)
static inline AlignedMapType MapAligned(Scalar* data, Index rows, Index cols)
{ return AlignedMapType(data, rows, cols); }
template<int Outer, int Inner>
inline static typename StridedConstMapType<Stride<Outer, Inner> >::type Map(const Scalar* data, const Stride<Outer, Inner>& stride)
static inline typename StridedConstMapType<Stride<Outer, Inner> >::type Map(const Scalar* data, const Stride<Outer, Inner>& stride)
{ return typename StridedConstMapType<Stride<Outer, Inner> >::type(data, stride); }
template<int Outer, int Inner>
inline static typename StridedMapType<Stride<Outer, Inner> >::type Map(Scalar* data, const Stride<Outer, Inner>& stride)
static inline typename StridedMapType<Stride<Outer, Inner> >::type Map(Scalar* data, const Stride<Outer, Inner>& stride)
{ return typename StridedMapType<Stride<Outer, Inner> >::type(data, stride); }
template<int Outer, int Inner>
inline static typename StridedConstMapType<Stride<Outer, Inner> >::type Map(const Scalar* data, Index size, const Stride<Outer, Inner>& stride)
static inline typename StridedConstMapType<Stride<Outer, Inner> >::type Map(const Scalar* data, Index size, const Stride<Outer, Inner>& stride)
{ return typename StridedConstMapType<Stride<Outer, Inner> >::type(data, size, stride); }
template<int Outer, int Inner>
inline static typename StridedMapType<Stride<Outer, Inner> >::type Map(Scalar* data, Index size, const Stride<Outer, Inner>& stride)
static inline typename StridedMapType<Stride<Outer, Inner> >::type Map(Scalar* data, Index size, const Stride<Outer, Inner>& stride)
{ return typename StridedMapType<Stride<Outer, Inner> >::type(data, size, stride); }
template<int Outer, int Inner>
inline static typename StridedConstMapType<Stride<Outer, Inner> >::type Map(const Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
static inline typename StridedConstMapType<Stride<Outer, Inner> >::type Map(const Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
{ return typename StridedConstMapType<Stride<Outer, Inner> >::type(data, rows, cols, stride); }
template<int Outer, int Inner>
inline static typename StridedMapType<Stride<Outer, Inner> >::type Map(Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
static inline typename StridedMapType<Stride<Outer, Inner> >::type Map(Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
{ return typename StridedMapType<Stride<Outer, Inner> >::type(data, rows, cols, stride); }
template<int Outer, int Inner>
inline static typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type MapAligned(const Scalar* data, const Stride<Outer, Inner>& stride)
static inline typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type MapAligned(const Scalar* data, const Stride<Outer, Inner>& stride)
{ return typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type(data, stride); }
template<int Outer, int Inner>
inline static typename StridedAlignedMapType<Stride<Outer, Inner> >::type MapAligned(Scalar* data, const Stride<Outer, Inner>& stride)
static inline typename StridedAlignedMapType<Stride<Outer, Inner> >::type MapAligned(Scalar* data, const Stride<Outer, Inner>& stride)
{ return typename StridedAlignedMapType<Stride<Outer, Inner> >::type(data, stride); }
template<int Outer, int Inner>
inline static typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type MapAligned(const Scalar* data, Index size, const Stride<Outer, Inner>& stride)
static inline typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type MapAligned(const Scalar* data, Index size, const Stride<Outer, Inner>& stride)
{ return typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type(data, size, stride); }
template<int Outer, int Inner>
inline static typename StridedAlignedMapType<Stride<Outer, Inner> >::type MapAligned(Scalar* data, Index size, const Stride<Outer, Inner>& stride)
static inline typename StridedAlignedMapType<Stride<Outer, Inner> >::type MapAligned(Scalar* data, Index size, const Stride<Outer, Inner>& stride)
{ return typename StridedAlignedMapType<Stride<Outer, Inner> >::type(data, size, stride); }
template<int Outer, int Inner>
inline static typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type MapAligned(const Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
static inline typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type MapAligned(const Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
{ return typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type(data, rows, cols, stride); }
template<int Outer, int Inner>
inline static typename StridedAlignedMapType<Stride<Outer, Inner> >::type MapAligned(Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
static inline typename StridedAlignedMapType<Stride<Outer, Inner> >::type MapAligned(Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
{ return typename StridedAlignedMapType<Stride<Outer, Inner> >::type(data, rows, cols, stride); }
//@}
@@ -626,7 +634,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
public:
#ifndef EIGEN_PARSED_BY_DOXYGEN
EIGEN_STRONG_INLINE static void _check_template_params()
static EIGEN_STRONG_INLINE void _check_template_params()
{
EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor)
&& EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0)
@@ -754,4 +762,6 @@ struct matrix_swap_impl<MatrixTypeA, MatrixTypeB, true>
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_DENSESTORAGEBASE_H

View File

@@ -3,24 +3,9 @@
//
// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla Public
// License, v. 2.0. If a copy of the MPL was not distributed with this
// file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_PRODUCT_H
#define EIGEN_PRODUCT_H
@@ -110,18 +95,4 @@ class ProductImpl<Lhs,Rhs,Dense> : public internal::dense_xpr_base<Product<Lhs,R
EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
};
/***************************************************************************
* Implementation of matrix base methods
***************************************************************************/
/** \internal used to test the evaluator only
*/
template<typename Lhs,typename Rhs>
const Product<Lhs,Rhs>
prod(const Lhs& lhs, const Rhs& rhs)
{
return Product<Lhs,Rhs>(lhs,rhs);
}
#endif // EIGEN_PRODUCT_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_PRODUCTBASE_H
#define EIGEN_PRODUCTBASE_H
namespace Eigen {
/** \class ProductBase
* \ingroup Core_Module
*
@@ -115,10 +102,10 @@ class ProductBase : public MatrixBase<Derived>
inline void evalTo(Dest& dst) const { dst.setZero(); scaleAndAddTo(dst,Scalar(1)); }
template<typename Dest>
inline void addTo(Dest& dst) const { scaleAndAddTo(dst,1); }
inline void addTo(Dest& dst) const { scaleAndAddTo(dst,Scalar(1)); }
template<typename Dest>
inline void subTo(Dest& dst) const { scaleAndAddTo(dst,-1); }
inline void subTo(Dest& dst) const { scaleAndAddTo(dst,Scalar(-1)); }
template<typename Dest>
inline void scaleAndAddTo(Dest& dst,Scalar alpha) const { derived().scaleAndAddTo(dst,alpha); }
@@ -152,7 +139,8 @@ class ProductBase : public MatrixBase<Derived>
#else
EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
eigen_assert(this->rows() == 1 && this->cols() == 1);
return derived().coeff(row,col);
Matrix<Scalar,1,1> result = *this;
return result.coeff(row,col);
#endif
}
@@ -160,7 +148,8 @@ class ProductBase : public MatrixBase<Derived>
{
EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
eigen_assert(this->rows() == 1 && this->cols() == 1);
return derived().coeff(i);
Matrix<Scalar,1,1> result = *this;
return result.coeff(i);
}
const Scalar& coeffRef(Index row, Index col) const
@@ -179,8 +168,8 @@ class ProductBase : public MatrixBase<Derived>
protected:
const LhsNested m_lhs;
const RhsNested m_rhs;
LhsNested m_lhs;
RhsNested m_rhs;
mutable PlainObject m_result;
};
@@ -284,5 +273,6 @@ Derived& MatrixBase<Derived>::lazyAssign(const ProductBase<ProductDerived, Lhs,R
return derived();
}
} // end namespace Eigen
#endif // EIGEN_PRODUCTBASE_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_RANDOM_H
#define EIGEN_RANDOM_H
namespace Eigen {
namespace internal {
template<typename Scalar> struct scalar_random_op {
@@ -160,4 +147,6 @@ PlainObjectBase<Derived>::setRandom(Index rows, Index cols)
return setRandom();
}
} // end namespace Eigen
#endif // EIGEN_RANDOM_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_REDUX_H
#define EIGEN_REDUX_H
namespace Eigen {
namespace internal {
// TODO
@@ -95,7 +82,7 @@ struct redux_novec_unroller
typedef typename Derived::Scalar Scalar;
EIGEN_STRONG_INLINE static Scalar run(const Derived &mat, const Func& func)
static EIGEN_STRONG_INLINE Scalar run(const Derived &mat, const Func& func)
{
return func(redux_novec_unroller<Func, Derived, Start, HalfLength>::run(mat,func),
redux_novec_unroller<Func, Derived, Start+HalfLength, Length-HalfLength>::run(mat,func));
@@ -112,7 +99,7 @@ struct redux_novec_unroller<Func, Derived, Start, 1>
typedef typename Derived::Scalar Scalar;
EIGEN_STRONG_INLINE static Scalar run(const Derived &mat, const Func&)
static EIGEN_STRONG_INLINE Scalar run(const Derived &mat, const Func&)
{
return mat.coeffByOuterInner(outer, inner);
}
@@ -125,7 +112,7 @@ template<typename Func, typename Derived, int Start>
struct redux_novec_unroller<Func, Derived, Start, 0>
{
typedef typename Derived::Scalar Scalar;
EIGEN_STRONG_INLINE static Scalar run(const Derived&, const Func&) { return Scalar(); }
static EIGEN_STRONG_INLINE Scalar run(const Derived&, const Func&) { return Scalar(); }
};
/*** vectorization ***/
@@ -141,7 +128,7 @@ struct redux_vec_unroller
typedef typename Derived::Scalar Scalar;
typedef typename packet_traits<Scalar>::type PacketScalar;
EIGEN_STRONG_INLINE static PacketScalar run(const Derived &mat, const Func& func)
static EIGEN_STRONG_INLINE PacketScalar run(const Derived &mat, const Func& func)
{
return func.packetOp(
redux_vec_unroller<Func, Derived, Start, HalfLength>::run(mat,func),
@@ -162,7 +149,7 @@ struct redux_vec_unroller<Func, Derived, Start, 1>
typedef typename Derived::Scalar Scalar;
typedef typename packet_traits<Scalar>::type PacketScalar;
EIGEN_STRONG_INLINE static PacketScalar run(const Derived &mat, const Func&)
static EIGEN_STRONG_INLINE PacketScalar run(const Derived &mat, const Func&)
{
return mat.template packetByOuterInner<alignment>(outer, inner);
}
@@ -214,7 +201,7 @@ struct redux_impl<Func, Derived, LinearVectorizedTraversal, NoUnrolling>
const Index size = mat.size();
eigen_assert(size && "you are using an empty matrix");
const Index packetSize = packet_traits<Scalar>::size;
const Index alignedStart = first_aligned(mat);
const Index alignedStart = internal::first_aligned(mat);
enum {
alignment = bool(Derived::Flags & DirectAccessBit) || bool(Derived::Flags & AlignedBit)
? Aligned : Unaligned
@@ -309,7 +296,7 @@ struct redux_impl<Func, Derived, LinearVectorizedTraversal, CompleteUnrolling>
Size = Derived::SizeAtCompileTime,
VectorizedSize = (Size / PacketSize) * PacketSize
};
EIGEN_STRONG_INLINE static Scalar run(const Derived& mat, const Func& func)
static EIGEN_STRONG_INLINE Scalar run(const Derived& mat, const Func& func)
{
eigen_assert(mat.rows()>0 && mat.cols()>0 && "you are using an empty matrix");
Scalar res = func.predux(redux_vec_unroller<Func, Derived, 0, Size / PacketSize>::run(mat,func));
@@ -414,4 +401,6 @@ MatrixBase<Derived>::trace() const
return derived().diagonal().sum();
}
} // end namespace Eigen
#endif // EIGEN_REDUX_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_REPLICATE_H
#define EIGEN_REPLICATE_H
namespace Eigen {
/**
* \class Replicate
* \ingroup Core_Module
@@ -48,7 +35,10 @@ struct traits<Replicate<MatrixType,RowFactor,ColFactor> >
typedef typename MatrixType::Scalar Scalar;
typedef typename traits<MatrixType>::StorageKind StorageKind;
typedef typename traits<MatrixType>::XprKind XprKind;
typedef typename nested<MatrixType>::type MatrixTypeNested;
enum {
Factor = (RowFactor==Dynamic || ColFactor==Dynamic) ? Dynamic : RowFactor*ColFactor
};
typedef typename nested<MatrixType,Factor>::type MatrixTypeNested;
typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
enum {
RowsAtCompileTime = RowFactor==Dynamic || int(MatrixType::RowsAtCompileTime)==Dynamic
@@ -72,6 +62,8 @@ struct traits<Replicate<MatrixType,RowFactor,ColFactor> >
template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
: public internal::dense_xpr_base< Replicate<MatrixType,RowFactor,ColFactor> >::type
{
typedef typename internal::traits<Replicate>::MatrixTypeNested MatrixTypeNested;
typedef typename internal::traits<Replicate>::_MatrixTypeNested _MatrixTypeNested;
public:
typedef typename internal::dense_xpr_base<Replicate>::type Base;
@@ -87,7 +79,7 @@ template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
}
template<typename OriginalMatrixType>
inline Replicate(const OriginalMatrixType& matrix, int rowFactor, int colFactor)
inline Replicate(const OriginalMatrixType& matrix, Index rowFactor, Index colFactor)
: m_matrix(matrix), m_rowFactor(rowFactor), m_colFactor(colFactor)
{
EIGEN_STATIC_ASSERT((internal::is_same<typename internal::remove_const<MatrixType>::type,OriginalMatrixType>::value),
@@ -122,13 +114,13 @@ template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
return m_matrix.template packet<LoadMode>(actual_row, actual_col);
}
const typename internal::remove_all<typename MatrixType::Nested>::type& nestedExpression() const
const _MatrixTypeNested& nestedExpression() const
{
return m_matrix;
}
protected:
const typename MatrixType::Nested m_matrix;
MatrixTypeNested m_matrix;
const internal::variable_if_dynamic<Index, RowFactor> m_rowFactor;
const internal::variable_if_dynamic<Index, ColFactor> m_colFactor;
};
@@ -180,4 +172,6 @@ VectorwiseOp<ExpressionType,Direction>::replicate(Index factor) const
(_expression(),Direction==Vertical?factor:1,Direction==Horizontal?factor:1);
}
} // end namespace Eigen
#endif // EIGEN_REPLICATE_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2009-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_RETURNBYVALUE_H
#define EIGEN_RETURNBYVALUE_H
namespace Eigen {
/** \class ReturnByValue
* \ingroup Core_Module
*
@@ -96,4 +83,6 @@ Derived& DenseBase<Derived>::operator=(const ReturnByValue<OtherDerived>& other)
return derived();
}
} // end namespace Eigen
#endif // EIGEN_RETURNBYVALUE_H

View File

@@ -5,28 +5,15 @@
// Copyright (C) 2009 Ricard Marxer <email@ricardmarxer.com>
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_REVERSE_H
#define EIGEN_REVERSE_H
namespace Eigen {
/** \class Reverse
* \ingroup Core_Module
*
@@ -190,7 +177,7 @@ template<typename MatrixType, int Direction> class Reverse
}
protected:
const typename MatrixType::Nested m_matrix;
typename MatrixType::Nested m_matrix;
};
/** \returns an expression of the reverse of *this.
@@ -232,5 +219,6 @@ inline void DenseBase<Derived>::reverseInPlace()
derived() = derived().reverse().eval();
}
} // end namespace Eigen
#endif // EIGEN_REVERSE_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SELECT_H
#define EIGEN_SELECT_H
namespace Eigen {
/** \class Select
* \ingroup Core_Module
*
@@ -117,9 +104,9 @@ class Select : internal::no_assignment_operator,
}
protected:
const typename ConditionMatrixType::Nested m_condition;
const typename ThenMatrixType::Nested m_then;
const typename ElseMatrixType::Nested m_else;
typename ConditionMatrixType::Nested m_condition;
typename ThenMatrixType::Nested m_then;
typename ElseMatrixType::Nested m_else;
};
@@ -170,4 +157,6 @@ DenseBase<Derived>::select(typename ElseDerived::Scalar thenScalar,
derived(), ElseDerived::Constant(rows(),cols(),thenScalar), elseMatrix.derived());
}
} // end namespace Eigen
#endif // EIGEN_SELECT_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SELFADJOINTMATRIX_H
#define EIGEN_SELFADJOINTMATRIX_H
namespace Eigen {
/** \class SelfAdjointView
* \ingroup Core_Module
*
@@ -82,7 +69,7 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
};
typedef typename MatrixType::PlainObject PlainObject;
inline SelfAdjointView(const MatrixType& matrix) : m_matrix(matrix)
inline SelfAdjointView(MatrixType& matrix) : m_matrix(matrix)
{}
inline Index rows() const { return m_matrix.rows(); }
@@ -199,7 +186,7 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
#endif
protected:
const MatrixTypeNested m_matrix;
MatrixTypeNested m_matrix;
};
@@ -222,7 +209,7 @@ struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Upper), U
row = (UnrollCount-1) % Derived1::RowsAtCompileTime
};
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Upper), UnrollCount-1, ClearOpposite>::run(dst, src);
@@ -236,7 +223,7 @@ struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Upper), U
template<typename Derived1, typename Derived2, bool ClearOpposite>
struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Upper, 0, ClearOpposite>
{
inline static void run(Derived1 &, const Derived2 &) {}
static inline void run(Derived1 &, const Derived2 &) {}
};
template<typename Derived1, typename Derived2, int UnrollCount, bool ClearOpposite>
@@ -247,7 +234,7 @@ struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Lower), U
row = (UnrollCount-1) % Derived1::RowsAtCompileTime
};
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Lower), UnrollCount-1, ClearOpposite>::run(dst, src);
@@ -261,14 +248,14 @@ struct triangular_assignment_selector<Derived1, Derived2, (SelfAdjoint|Lower), U
template<typename Derived1, typename Derived2, bool ClearOpposite>
struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Lower, 0, ClearOpposite>
{
inline static void run(Derived1 &, const Derived2 &) {}
static inline void run(Derived1 &, const Derived2 &) {}
};
template<typename Derived1, typename Derived2, bool ClearOpposite>
struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Upper, Dynamic, ClearOpposite>
{
typedef typename Derived1::Index Index;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
for(Index j = 0; j < dst.cols(); ++j)
{
@@ -285,7 +272,7 @@ struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Upper, Dyn
template<typename Derived1, typename Derived2, bool ClearOpposite>
struct triangular_assignment_selector<Derived1, Derived2, SelfAdjoint|Lower, Dynamic, ClearOpposite>
{
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
typedef typename Derived1::Index Index;
for(Index i = 0; i < dst.rows(); ++i)
@@ -322,4 +309,6 @@ MatrixBase<Derived>::selfadjointView()
return derived();
}
} // end namespace Eigen
#endif // EIGEN_SELFADJOINTMATRIX_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SELFCWISEBINARYOP_H
#define EIGEN_SELFCWISEBINARYOP_H
namespace Eigen {
/** \class SelfCwiseBinaryOp
* \ingroup Core_Module
*
@@ -202,4 +189,6 @@ inline Derived& DenseBase<Derived>::operator/=(const Scalar& other)
return derived();
}
} // end namespace Eigen
#endif // EIGEN_SELFCWISEBINARYOP_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SOLVETRIANGULAR_H
#define EIGEN_SOLVETRIANGULAR_H
namespace Eigen {
namespace internal {
// Forward declarations:
@@ -98,12 +85,22 @@ struct triangular_solver_selector<Lhs,Rhs,Side,Mode,NoUnrolling,Dynamic>
typedef typename Rhs::Index Index;
typedef blas_traits<Lhs> LhsProductTraits;
typedef typename LhsProductTraits::DirectLinearAccessType ActualLhsType;
static void run(const Lhs& lhs, Rhs& rhs)
{
const ActualLhsType actualLhs = LhsProductTraits::extract(lhs);
typename internal::add_const_on_value_type<ActualLhsType>::type actualLhs = LhsProductTraits::extract(lhs);
const Index size = lhs.rows();
const Index othersize = Side==OnTheLeft? rhs.cols() : rhs.rows();
typedef internal::gemm_blocking_space<(Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor,Scalar,Scalar,
Rhs::MaxRowsAtCompileTime, Rhs::MaxColsAtCompileTime, Lhs::MaxRowsAtCompileTime,4> BlockingType;
BlockingType blocking(rhs.rows(), rhs.cols(), size);
triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
(Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor>
::run(lhs.rows(), Side==OnTheLeft? rhs.cols() : rhs.rows(), &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.outerStride());
::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.outerStride(), blocking);
}
};
@@ -177,10 +174,8 @@ template<int Side, typename OtherDerived>
void TriangularView<MatrixType,Mode>::solveInPlace(const MatrixBase<OtherDerived>& _other) const
{
OtherDerived& other = _other.const_cast_derived();
eigen_assert(cols() == rows());
eigen_assert( (Side==OnTheLeft && cols() == other.rows()) || (Side==OnTheRight && cols() == other.cols()) );
eigen_assert(!(Mode & ZeroDiag));
eigen_assert(Mode & (Upper|Lower));
eigen_assert( cols() == rows() && ((Side==OnTheLeft && cols() == other.rows()) || (Side==OnTheRight && cols() == other.cols())) );
eigen_assert((!(Mode & ZeroDiag)) && bool(Mode & (Upper|Lower)));
enum { copy = internal::traits<OtherDerived>::Flags & RowMajorBit && OtherDerived::IsVectorAtCompileTime };
typedef typename internal::conditional<copy,
@@ -255,9 +250,11 @@ template<int Side, typename TriangularType, typename Rhs> struct triangular_solv
protected:
const TriangularType& m_triangularMatrix;
const typename Rhs::Nested m_rhs;
typename Rhs::Nested m_rhs;
};
} // namespace internal
} // end namespace Eigen
#endif // EIGEN_SOLVETRIANGULAR_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_STABLENORM_H
#define EIGEN_STABLENORM_H
namespace Eigen {
namespace internal {
template<typename ExpressionType, typename Scalar>
inline void stable_norm_kernel(const ExpressionType& bl, Scalar& ssq, Scalar& scale, Scalar& invScale)
@@ -58,9 +45,9 @@ MatrixBase<Derived>::stableNorm() const
{
using std::min;
const Index blockSize = 4096;
RealScalar scale = 0;
RealScalar invScale = 1;
RealScalar ssq = 0; // sum of square
RealScalar scale(0);
RealScalar invScale(1);
RealScalar ssq(0); // sum of square
enum {
Alignment = (int(Flags)&DirectAccessBit) || (int(Flags)&AlignedBit) ? 1 : 0
};
@@ -144,7 +131,6 @@ MatrixBase<Derived>::blueNorm() const
abig = internal::sqrt(abig);
if(abig > overfl)
{
eigen_assert(false && "overflow");
return rbig;
}
if(amed > RealScalar(0))
@@ -187,4 +173,6 @@ MatrixBase<Derived>::hypotNorm() const
return this->cwiseAbs().redux(internal::scalar_hypot_op<RealScalar>());
}
} // end namespace Eigen
#endif // EIGEN_STABLENORM_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_STRIDE_H
#define EIGEN_STRIDE_H
namespace Eigen {
/** \class Stride
* \ingroup Core_Module
*
@@ -116,4 +103,6 @@ class OuterStride : public Stride<Value, 0>
OuterStride(Index v) : Base(v,0) {}
};
} // end namespace Eigen
#endif // EIGEN_STRIDE_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_SWAP_H
#define EIGEN_SWAP_H
namespace Eigen {
/** \class SwapWrapper
* \ingroup Core_Module
*
@@ -52,6 +39,15 @@ template<typename ExpressionType> class SwapWrapper
inline Index cols() const { return m_expression.cols(); }
inline Index outerStride() const { return m_expression.outerStride(); }
inline Index innerStride() const { return m_expression.innerStride(); }
typedef typename internal::conditional<
internal::is_lvalue<ExpressionType>::value,
Scalar,
const Scalar
>::type ScalarWithConstIfNotLvalue;
inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
inline const Scalar* data() const { return m_expression.data(); }
inline Scalar& coeffRef(Index row, Index col)
{
@@ -125,4 +121,6 @@ template<typename ExpressionType> class SwapWrapper
ExpressionType& m_expression;
};
} // end namespace Eigen
#endif // EIGEN_SWAP_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_TRANSPOSE_H
#define EIGEN_TRANSPOSE_H
namespace Eigen {
/** \class Transpose
* \ingroup Core_Module
*
@@ -91,7 +78,7 @@ template<typename MatrixType> class Transpose
nestedExpression() { return m_matrix.const_cast_derived(); }
protected:
const typename MatrixType::Nested m_matrix;
typename MatrixType::Nested m_matrix;
};
namespace internal {
@@ -152,12 +139,12 @@ template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
return derived().nestedExpression().coeffRef(index);
}
inline const CoeffReturnType coeff(Index row, Index col) const
inline CoeffReturnType coeff(Index row, Index col) const
{
return derived().nestedExpression().coeff(col, row);
}
inline const CoeffReturnType coeff(Index index) const
inline CoeffReturnType coeff(Index index) const
{
return derived().nestedExpression().coeff(index);
}
@@ -422,4 +409,6 @@ void DenseBase<Derived>::checkTransposeAliasing(const OtherDerived& other) const
}
#endif
} // end namespace Eigen
#endif // EIGEN_TRANSPOSE_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2010-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_TRANSPOSITIONS_H
#define EIGEN_TRANSPOSITIONS_H
namespace Eigen {
/** \class Transpositions
* \ingroup Core_Module
*
@@ -404,7 +391,7 @@ struct transposition_matrix_product_retval
protected:
const TranspositionType& m_transpositions;
const typename MatrixType::Nested m_matrix;
typename MatrixType::Nested m_matrix;
};
} // end namespace internal
@@ -444,4 +431,6 @@ class Transpose<TranspositionsBase<TranspositionsDerived> >
const TranspositionType& m_transpositions;
};
} // end namespace Eigen
#endif // EIGEN_TRANSPOSITIONS_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_TRIANGULARMATRIX_H
#define EIGEN_TRIANGULARMATRIX_H
namespace Eigen {
namespace internal {
template<int Side, typename TriangularType, typename Rhs> struct triangular_solve_retval;
@@ -273,11 +260,8 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
inline const TriangularView<MatrixConjugateReturnType,Mode> conjugate() const
{ return m_matrix.conjugate(); }
/** \sa MatrixBase::adjoint() */
inline TriangularView<typename MatrixType::AdjointReturnType,TransposeMode> adjoint()
{ return m_matrix.adjoint(); }
/** \sa MatrixBase::adjoint() const */
inline const TriangularView<typename MatrixType::AdjointReturnType,TransposeMode> adjoint() const
inline const TriangularView<const typename MatrixType::AdjointReturnType,TransposeMode> adjoint() const
{ return m_matrix.adjoint(); }
/** \sa MatrixBase::transpose() */
@@ -288,11 +272,13 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
}
/** \sa MatrixBase::transpose() const */
inline const TriangularView<Transpose<MatrixType>,TransposeMode> transpose() const
{ return m_matrix.transpose(); }
{
return m_matrix.transpose();
}
/** Efficient triangular matrix times vector/matrix product */
template<typename OtherDerived>
TriangularProduct<Mode,true,MatrixType,false,OtherDerived,OtherDerived::IsVectorAtCompileTime>
TriangularProduct<Mode,true,MatrixType,false,OtherDerived, OtherDerived::IsVectorAtCompileTime>
operator*(const MatrixBase<OtherDerived>& rhs) const
{
return TriangularProduct
@@ -375,7 +361,8 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
template<typename OtherDerived>
void swap(MatrixBase<OtherDerived> const & other)
{
TriangularView<SwapWrapper<MatrixType>,Mode>(const_cast<MatrixType&>(m_matrix)).lazyAssign(other.derived());
SwapWrapper<MatrixType> swaper(const_cast<MatrixType&>(m_matrix));
TriangularView<SwapWrapper<MatrixType>,Mode>(swaper).lazyAssign(other.derived());
}
Scalar determinant() const
@@ -433,7 +420,7 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
template<typename ProductDerived, typename Lhs, typename Rhs>
EIGEN_STRONG_INLINE TriangularView& assignProduct(const ProductBase<ProductDerived, Lhs,Rhs>& prod, const Scalar& alpha);
const MatrixTypeNested m_matrix;
MatrixTypeNested m_matrix;
};
/***************************************************************************
@@ -452,7 +439,7 @@ struct triangular_assignment_selector
typedef typename Derived1::Scalar Scalar;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
triangular_assignment_selector<Derived1, Derived2, Mode, UnrollCount-1, ClearOpposite>::run(dst, src);
@@ -480,7 +467,7 @@ struct triangular_assignment_selector
template<typename Derived1, typename Derived2, unsigned int Mode, bool ClearOpposite>
struct triangular_assignment_selector<Derived1, Derived2, Mode, 0, ClearOpposite>
{
inline static void run(Derived1 &, const Derived2 &) {}
static inline void run(Derived1 &, const Derived2 &) {}
};
template<typename Derived1, typename Derived2, bool ClearOpposite>
@@ -488,7 +475,7 @@ struct triangular_assignment_selector<Derived1, Derived2, Upper, Dynamic, ClearO
{
typedef typename Derived1::Index Index;
typedef typename Derived1::Scalar Scalar;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
for(Index j = 0; j < dst.cols(); ++j)
{
@@ -506,7 +493,7 @@ template<typename Derived1, typename Derived2, bool ClearOpposite>
struct triangular_assignment_selector<Derived1, Derived2, Lower, Dynamic, ClearOpposite>
{
typedef typename Derived1::Index Index;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
for(Index j = 0; j < dst.cols(); ++j)
{
@@ -524,7 +511,8 @@ template<typename Derived1, typename Derived2, bool ClearOpposite>
struct triangular_assignment_selector<Derived1, Derived2, StrictlyUpper, Dynamic, ClearOpposite>
{
typedef typename Derived1::Index Index;
inline static void run(Derived1 &dst, const Derived2 &src)
typedef typename Derived1::Scalar Scalar;
static inline void run(Derived1 &dst, const Derived2 &src)
{
for(Index j = 0; j < dst.cols(); ++j)
{
@@ -533,7 +521,7 @@ struct triangular_assignment_selector<Derived1, Derived2, StrictlyUpper, Dynamic
dst.copyCoeff(i, j, src);
if (ClearOpposite)
for(Index i = maxi; i < dst.rows(); ++i)
dst.coeffRef(i, j) = 0;
dst.coeffRef(i, j) = Scalar(0);
}
}
};
@@ -542,7 +530,7 @@ template<typename Derived1, typename Derived2, bool ClearOpposite>
struct triangular_assignment_selector<Derived1, Derived2, StrictlyLower, Dynamic, ClearOpposite>
{
typedef typename Derived1::Index Index;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
for(Index j = 0; j < dst.cols(); ++j)
{
@@ -560,7 +548,7 @@ template<typename Derived1, typename Derived2, bool ClearOpposite>
struct triangular_assignment_selector<Derived1, Derived2, UnitUpper, Dynamic, ClearOpposite>
{
typedef typename Derived1::Index Index;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
for(Index j = 0; j < dst.cols(); ++j)
{
@@ -580,7 +568,7 @@ template<typename Derived1, typename Derived2, bool ClearOpposite>
struct triangular_assignment_selector<Derived1, Derived2, UnitLower, Dynamic, ClearOpposite>
{
typedef typename Derived1::Index Index;
inline static void run(Derived1 &dst, const Derived2 &src)
static inline void run(Derived1 &dst, const Derived2 &src)
{
for(Index j = 0; j < dst.cols(); ++j)
{
@@ -835,4 +823,6 @@ bool MatrixBase<Derived>::isLowerTriangular(RealScalar prec) const
return true;
}
} // end namespace Eigen
#endif // EIGEN_TRIANGULARMATRIX_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_VECTORBLOCK_H
#define EIGEN_VECTORBLOCK_H
namespace Eigen {
/** \class VectorBlock
* \ingroup Core_Module
*
@@ -292,5 +279,6 @@ DenseBase<Derived>::tail() const
return typename ConstFixedSegmentReturnType<Size>::Type(derived(), size() - Size);
}
} // end namespace Eigen
#endif // EIGEN_VECTORBLOCK_H

View File

@@ -4,28 +4,15 @@
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_PARTIAL_REDUX_H
#define EIGEN_PARTIAL_REDUX_H
namespace Eigen {
/** \class PartialReduxExpr
* \ingroup Core_Module
*
@@ -110,7 +97,7 @@ class PartialReduxExpr : internal::no_assignment_operator,
}
protected:
const MatrixTypeNested m_matrix;
MatrixTypeNested m_matrix;
const MemberOp m_functor;
};
@@ -606,4 +593,6 @@ DenseBase<Derived>::rowwise()
return derived();
}
} // end namespace Eigen
#endif // EIGEN_PARTIAL_REDUX_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_VISITOR_H
#define EIGEN_VISITOR_H
namespace Eigen {
namespace internal {
template<typename Visitor, typename Derived, int UnrollCount>
@@ -35,7 +22,7 @@ struct visitor_impl
row = (UnrollCount-1) % Derived::RowsAtCompileTime
};
inline static void run(const Derived &mat, Visitor& visitor)
static inline void run(const Derived &mat, Visitor& visitor)
{
visitor_impl<Visitor, Derived, UnrollCount-1>::run(mat, visitor);
visitor(mat.coeff(row, col), row, col);
@@ -45,7 +32,7 @@ struct visitor_impl
template<typename Visitor, typename Derived>
struct visitor_impl<Visitor, Derived, 1>
{
inline static void run(const Derived &mat, Visitor& visitor)
static inline void run(const Derived &mat, Visitor& visitor)
{
return visitor.init(mat.coeff(0, 0), 0, 0);
}
@@ -55,7 +42,7 @@ template<typename Visitor, typename Derived>
struct visitor_impl<Visitor, Derived, Dynamic>
{
typedef typename Derived::Index Index;
inline static void run(const Derived& mat, Visitor& visitor)
static inline void run(const Derived& mat, Visitor& visitor)
{
visitor.init(mat.coeff(0,0), 0, 0);
for(Index i = 1; i < mat.rows(); ++i)
@@ -245,4 +232,6 @@ DenseBase<Derived>::maxCoeff(IndexType* index) const
return maxVisitor.res;
}
} // end namespace Eigen
#endif // EIGEN_VISITOR_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_COMPLEX_ALTIVEC_H
#define EIGEN_COMPLEX_ALTIVEC_H
namespace Eigen {
namespace internal {
static Packet4ui p4ui_CONJ_XOR = vec_mergeh((Packet4ui)p4i_ZERO, (Packet4ui)p4f_ZERO_);//{ 0x00000000, 0x80000000, 0x00000000, 0x80000000 };
@@ -168,7 +155,7 @@ template<> EIGEN_STRONG_INLINE std::complex<float> predux_mul<Packet2cf>(const P
template<int Offset>
struct palign_impl<Offset,Packet2cf>
{
EIGEN_STRONG_INLINE static void run(Packet2cf& first, const Packet2cf& second)
static EIGEN_STRONG_INLINE void run(Packet2cf& first, const Packet2cf& second)
{
if (Offset==1)
{
@@ -225,4 +212,6 @@ template<> EIGEN_STRONG_INLINE Packet2cf pcplxflip<Packet2cf>(const Packet2cf& x
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_COMPLEX_ALTIVEC_H

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2008 Konstantinos Margaritis <markos@codex.gr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_PACKET_MATH_ALTIVEC_H
#define EIGEN_PACKET_MATH_ALTIVEC_H
namespace Eigen {
namespace internal {
#ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
@@ -487,7 +474,7 @@ template<> EIGEN_STRONG_INLINE int predux_max<Packet4i>(const Packet4i& a)
template<int Offset>
struct palign_impl<Offset,Packet4f>
{
EIGEN_STRONG_INLINE static void run(Packet4f& first, const Packet4f& second)
static EIGEN_STRONG_INLINE void run(Packet4f& first, const Packet4f& second)
{
if (Offset!=0)
first = vec_sld(first, second, Offset*4);
@@ -497,7 +484,7 @@ struct palign_impl<Offset,Packet4f>
template<int Offset>
struct palign_impl<Offset,Packet4i>
{
EIGEN_STRONG_INLINE static void run(Packet4i& first, const Packet4i& second)
static EIGEN_STRONG_INLINE void run(Packet4i& first, const Packet4i& second)
{
if (Offset!=0)
first = vec_sld(first, second, Offset*4);
@@ -506,4 +493,6 @@ struct palign_impl<Offset,Packet4i>
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_PACKET_MATH_ALTIVEC_H

View File

@@ -4,24 +4,9 @@
// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
/* All the parameters defined in this file can be specialized in the

View File

@@ -3,28 +3,15 @@
//
// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_COMPLEX_NEON_H
#define EIGEN_COMPLEX_NEON_H
namespace Eigen {
namespace internal {
static uint32x4_t p4ui_CONJ_XOR = EIGEN_INIT_NEON_PACKET4(0x00000000, 0x80000000, 0x00000000, 0x80000000);
@@ -267,4 +254,6 @@ template<> EIGEN_STRONG_INLINE Packet2cf pdiv<Packet2cf>(const Packet2cf& a, con
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_COMPLEX_NEON_H

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