Gael Guennebaud
28e64b0da3
email change
2010-06-24 23:21:58 +02:00
Gael Guennebaud
ece48a6450
split the Sparse module into multiple ones, and move non stable parts to unsupported/
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(see the ML for details)
2010-06-18 11:28:30 +02:00
Benoit Jacob
d72d538747
merge my Dynamic -> -1 change
2010-06-11 08:04:06 -04:00
Benoit Jacob
bdd7c6c88a
change the value of Dynamic to -1, since the index type is now configurable.
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remove EIGEN_ENUM_MIN/MAX, implement new macros instead
2010-06-11 07:56:50 -04:00
Gael Guennebaud
8350ab9fb8
* remove ei_index, and let ei_traits propagate the index types
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* add an Index type template parapeter to sparse objects
2010-06-03 08:41:11 +02:00
Gael Guennebaud
8710bd23e7
clean the ambiguity with insertBack and add a insertBackByOuterInner function
2010-06-02 13:32:13 +02:00
Benoit Jacob
aaaade4b3d
the Index types change.
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As discussed on the list (too long to explain here).
2010-05-30 16:00:58 -04:00
Benoit Jacob
9962c59b56
* implement the corner() API change: new methods topLeftCorner() etc
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* get rid of BlockReturnType: it was not needed, and code was not always using it consistently anyway
* add topRows(), leftCols(), bottomRows(), rightCols()
* add corners unit-test covering all of that
* adapt docs, expand "porting from eigen 2 to 3"
* adapt Eigen2Support
2010-04-22 14:11:18 -04:00
Hauke Heibel
6d08f71a2d
Removed strong inlines which cannot always be inlined.
2010-03-14 12:09:29 +01:00
Hauke Heibel
abc8c01080
Renamed PlainMatrixType to PlainObject (Array != Matrix).
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Renamed ReturnByValue::ReturnMatrixType ReturnByValue::ReturnType (again, Array != Matrix).
2010-02-20 15:53:57 +01:00
Hauke Heibel
f0c8dcf1e2
Renamed AnyMatrixBase to EigenBase.
2010-02-20 15:26:02 +01:00
Gael Guennebaud
fe0827495a
* move dummy_precision and epsilon to NumTraits
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* make NumTraits inherits std::numeric_limits
2010-02-10 10:52:28 +01:00
Gael Guennebaud
c5d7c9f0de
remove the Triangular suffix to Upper, Lower, UnitLower, etc,
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and remove the respective bit flags
2010-01-07 21:15:32 +01:00
Gael Guennebaud
d8534be728
add a novel, experimental sparse product
2010-01-05 15:57:16 +01:00
Gael Guennebaud
eaaba30cac
merge with default branch
2009-12-22 22:51:08 +01:00
Gael Guennebaud
e182e9c616
extend the DenseStorageMatrix mechanism to all expressions
2009-12-22 17:37:11 +01:00
Gael Guennebaud
9f79558839
a lot of cleaning and fixes
2009-12-16 19:18:40 +01:00
Hauke Heibel
b08d5b2d2c
Even more NestByValue cleanup...
2009-12-01 13:16:51 +01:00
Benoit Jacob
4b1aca2288
precision ---> dummy_precision
2009-11-26 22:05:02 -05:00
Gael Guennebaud
e3d890bc5a
Another big refactoring change:
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* add a new Eigen2Support module including Cwise, Flagged, and some other deprecated stuff
* add a few cwiseXxx functions
* adapt a few modules to use cwiseXxx instead of the .cwise() prefix
2009-11-18 18:15:19 +01:00
Gael Guennebaud
0529ecfe1b
Big refactoring/cleaning in the spasre module with
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in particular the addition of a selfadjointView, and the
extension of triangularView. The rest is cleaning and does not
change/extend the API.
2009-11-18 14:52:52 +01:00
Gael Guennebaud
1e62e0b0d8
more ET refactoring:
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* extend Cwise for multiple storage base class
* a lot of cleaning in the Sparse module
2009-11-17 16:04:19 +01:00
Gael Guennebaud
63bcc1c0fb
adapt CwiseBinaryOp and the Sparse counter part
2009-11-17 10:11:27 +01:00
Gael Guennebaud
1c9a2d246f
adapt CwiseUnaryOp and CwiseUnaryView
2009-11-16 19:39:29 +01:00
Gael Guennebaud
2a3a6fe45e
Experiment the ET refactoring on Transpose for Dense and Sparse storages.
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All tests work fine.
2009-11-16 18:19:08 +01:00
Hauke Heibel
c6822d6723
Added EIGEN_REF_TO_TEMPORARY define for rvalue support.
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Allowed VC10 to make use of static_assert.
2009-09-21 19:59:58 +02:00
Gael Guennebaud
add5381be7
finish my evalToDense => evalTo change
2009-09-17 23:51:16 +02:00
Gael Guennebaud
543a785756
Fix compilation in sparse module
2009-08-06 17:28:49 +02:00
Benoit Jacob
0744638b6f
remove remnant of MultiplierBase
2009-08-06 10:35:13 +02:00
Gael Guennebaud
8120a5cecd
synch with main devel branch
2009-07-14 23:06:25 +02:00
Gael Guennebaud
bd506d837c
fix typo in previous commit
2009-07-13 15:21:32 +02:00
Gael Guennebaud
1e7b1a8a85
add a SparseNestByValue expression and fix issue in sparse adjoint evaluation
2009-07-13 14:55:03 +02:00
Gael Guennebaud
92a35c93b2
* extended the cache friendly products to support C = alpha * A * M and C += alpha * A * B
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* this allows to optimize xpr like C -= lazy_product, still have to catch "scalar_product_of_lazy_product"
* started to support conjugate in cache friendly products (very useful to evaluate A * B.adjoint() without
evaluating B.adjoint() into a temporary
* compilation fix
2009-07-07 11:39:19 +02:00
Gael Guennebaud
544888e342
add a generic mechanism to copy a special matrix to a dense matrix so that
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we don't need to add other specialization of MatrixBase::operator=, Matrix::=,
and Matrix::Matrix(...)
2009-07-07 09:05:20 +02:00
Gael Guennebaud
08e419dcb1
* update sparse module wrt new diagonal matrix impl
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* fix a bug is SparseMatrix
2009-07-04 11:16:27 +02:00
Gael Guennebaud
627595ad19
* rename PartialRedux to VectorwiseOp
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* add VectorwiseOp's +, -, +=, -= operators
2009-06-10 11:20:30 +02:00
Benoit Jacob
6347b1db5b
remove sentence "Eigen itself is part of the KDE project."
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it never made very precise sense. but now does it still make any?
2009-05-22 20:25:33 +02:00
Gael Guennebaud
510029f2bc
* optimize sum() for sparse matrices and vectors
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* fix the row()/col() functions of some InnerVector
2009-05-19 09:40:00 +02:00
Benoit Jacob
9afd1324fd
constant Diagonal ---> DiagonalBits
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introduce ei_is_diagonal to check for it
DiagonalCoeffs ---> Diagonal and allow Index to by Dynamic
-> add MatrixBase::diagonal(int) with unittest and doc
2009-05-10 16:24:39 +00:00
Gael Guennebaud
2829314284
new simplified API to fill sparse matrices (the old functions are
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deprecated). Basically there are now only 2 functions to set a
coefficient:
1) mat.coeffRef(row,col) = value;
2) mat.insert(row,col) = value;
coeffRef has no limitation, insert assumes the coeff has not already
been set, and raises an assert otherwise.
In addition I added a much lower level, but more efficient filling
mechanism for
internal use only.
2009-05-04 14:25:12 +00:00
Gael Guennebaud
5b1d0cebc5
sparse module: new API proposal for triangular solves and experimental
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solver support with a sparse matrix as the rhs.
2009-04-05 16:30:10 +00:00
Benoit Jacob
40432c84b9
CwiseUnaryOp -> SparseCwiseUnaryOp
2009-04-01 14:47:56 +00:00
Gael Guennebaud
8ce4503494
add support for read/write sub sets of inner vectors (sparse module)
2009-01-27 22:48:17 +00:00
Gael Guennebaud
52cf07d266
sparse module:
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* add row(i), col(i) functions
* add prune() function to remove small coefficients
2009-01-21 18:46:04 +00:00
Gael Guennebaud
178858f1bd
add a flexible sparse matrix class designed for fast matrix assembly
2009-01-19 15:20:45 +00:00
Gael Guennebaud
ccdcebcf03
Sparse module: add support for sparse selfadjoint * dense
2009-01-15 18:52:14 +00:00
Gael Guennebaud
96e1e582ff
Sparse module:
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* add a MappedSparseMatrix class (like Eigen::Map but for sparse
matrices)
* rename SparseArray to CompressedStorage
2009-01-15 12:52:59 +00:00
Gael Guennebaud
0b606dcccd
Add support for sparse * dense and dense * sparse matrix/vector products
2009-01-14 17:41:55 +00:00
Gael Guennebaud
c4c70669d1
Big rewrite in the Sparse module: SparseMatrixBase no longer inherits MatrixBase.
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That means a lot of features which were available for sparse matrices
via the dense (and super slow) implemention are no longer available.
All features which make sense for sparse matrices (aka can be implemented efficiently) will be
implemented soon, but don't expect to see an API as rich as for the dense path.
Other changes:
* no block(), row(), col() anymore.
* instead use .innerVector() to get a col or row vector of a matrix.
* .segment(), start(), end() will be back soon, not sure for block()
* faster cwise product
2009-01-14 14:24:10 +00:00
Gael Guennebaud
709e903335
Sparse module:
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* extend unit tests
* add support for generic sum reduction and dot product
* optimize the cwise()* : this is a special case of CwiseBinaryOp where
we only have to process the coeffs which are not null for *both* matrices.
Perhaps there exist some other binary operations like that ?
2009-01-07 17:01:57 +00:00