Commit Graph

12 Commits

Author SHA1 Message Date
Benoit Jacob
953efdbfe7 - introduce Part and Extract classes, splitting and extending the former
Triangular class
- full meta-unrolling in Part
- move inverseProduct() to MatrixBase
- compilation fix in ProductWIP: introduce a meta-selector to only do
  direct access on types that support it.
- phase out the old Product, remove the WIP_DIRTY stuff.
- misc renaming and fixes
2008-05-27 05:47:30 +00:00
Gael Guennebaud
94e1629a1b * improved product performance:
- fallback to normal product for small dynamic matrices
 - overloaded "c += (a * b).lazy()" to avoid the expensive and useless temporary and setZero()
   in such very common cases.
* fix a couple of issues with the flags
2008-05-22 14:51:25 +00:00
Gael Guennebaud
c6789a279c Fix compilation issues with MSVC and NVCC.
Added a few typedef of complex return types in MatrixBase (Needed by MSVC)
2008-05-15 09:40:11 +00:00
Benoit Jacob
5da60897ab Introduce generic Flagged xpr, remove already Lazy.h and Temporary.h
Rename DefaultLostFlagMask --> HerediraryBits
2008-05-14 08:20:15 +00:00
Gael Guennebaud
4317fad869 * Added several cast to int of the enums (needed for some compilers)
* Fix a mistake in CwiseNullary.
* Added a CoreDeclarions header that declares only the forward declarations
  and related basic stuffs.
2008-05-12 18:09:30 +00:00
Gael Guennebaud
64c49de7ba * split PacketMath.h to SSE and Altivec specific files
* improved the flexibility of the new product implementation,
  now all sizes seems to be properly handled.
2008-05-05 17:19:47 +00:00
Gael Guennebaud
a451835bce Make the explicit vectorization much more flexible:
- support dynamic sizes
 - support arbitrary matrix size when the matrix can be seen as a 1D array
   (except for fixed size matrices where the size in Bytes must be a factor of 16,
    this is to allow compact storage of a vector of matrices)
Note that the explict vectorization is still experimental and far to be completely tested.
2008-04-25 15:46:18 +00:00
Gael Guennebaud
9385793f71 Fix a couple of issue with the vectorization. In particular, default ei_p* functions
are provided to handle not suported types seemlessly.

Added a generic null-ary expression with null-ary functors. They replace
Zero, Ones, Identity and Random.
2008-04-24 18:35:39 +00:00
Benoit Jacob
acfd6f3bda - add _packetCoeff() to Inverse, allowing vectorization.
- let Inverse take template parameter MatrixType instead
  of ExpressionType, in order to reduce executable code size
  when taking inverses of xpr's.
- introduce ei_corrected_matrix_flags : the flags template
  parameter to the Matrix class is only a suggestion. This
  is also useful in ei_eval.
2008-04-16 07:18:27 +00:00
Benoit Jacob
9789c04467 when evaluating an xpr, the result can now be vectorizable
even if the xpr itself wasn't vectorizable.
2008-04-14 08:55:12 +00:00
Benoit Jacob
ea3ccb1e8c * Start of the LU module, with matrix inversion already there and
fully optimized.
* Even if LargeBit is set, only parallelize for large enough objects
  (controlled by EIGEN_PARALLELIZATION_TRESHOLD).
2008-04-14 08:20:24 +00:00
Benoit Jacob
ca448d2537 split those files in util/
some more renaming
2008-04-10 09:41:13 +00:00