8 Commits

Author SHA1 Message Date
Benoit Jacob
bb1f4e44f1 * Block: row and column expressions in the inner direction
now have the Like1D flag.

* Big renaming:
  packetCoeff ---> packet
  VectorizableBit ---> PacketAccessBit
  Like1DArrayBit ---> LinearAccessBit
2008-06-16 14:54:31 +00:00
Gael Guennebaud
06752b2b77 * added a Tridiagonalization class for selfadjoint matrices
* added MatrixBase::real()
* added the ability to extract a selfadjoint matrix from the
  lower or upper part of a matrix, e.g.:
    m.extract<Upper|SelfAdjoint>()
  will ignore the strict lower part and return a selfadjoint.
  This is compatible with ZeroDiag and UnitDiag.
2008-06-01 17:20:18 +00:00
Gael Guennebaud
310f7aa096 moved purely "array" related stuff to a new module Array.
This include:
 - cwise Pow,Sin,Cos,Exp...
 - cwise Greater and other comparison operators
 - .any(), .all() and partial reduction
 - random
2008-05-31 18:11:48 +00:00
Benoit Jacob
678f18fce4 put inline keywords everywhere appropriate. So we don't need anymore to pass
-finline-limit=1000 to gcc to get good performance. By the way some cleanup.
2008-05-12 17:34:46 +00:00
Gael Guennebaud
64bacf1c3f * added ei_sqrt for complex
* updated Cholesky to support complex
* correct result_type for abs and abs2 functors
2008-04-27 14:05:40 +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
Gael Guennebaud
1985fb0551 Added initial experimental support for explicit vectorization.
Currently only the following platform/operations are supported:
 - SSE2 compatible architecture
 - compiler compatible with intel's SSE2 intrinsics
 - float, double and int data types
 - fixed size matrices with a storage major dimension multiple of 4 (or 2 for double)
 - scalar-matrix product, component wise: +,-,*,min,max
 - matrix-matrix product only if the left matrix is vectorizable and column major
   or the right matrix is vectorizable and row major, e.g.:
   a.transpose() * b is not vectorized with the default column major storage.
To use it you must define EIGEN_VECTORIZE and EIGEN_INTEL_PLATFORM.
2008-04-09 12:31:55 +00:00
Gael Guennebaud
b4a156671f * make use of the EvalBeforeNestingBit and EvalBeforeAssigningBit
in ei_xpr_copy and operator=, respectively.
 * added Matrix::lazyAssign() when EvalBeforeAssigningBit must be skipped
   (mainly internal use only)
 * all expressions are now stored by const reference
 * added Temporary xpr: .temporary() must be called on any temporary expression
   not directly returned by a function (mainly internal use only)
 * moved all functors in the Functors.h header
 * added some preliminaries stuff for the explicit vectorization
2008-04-05 11:10:54 +00:00