eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	Various fixes in:	Gael Guennebaud	2008-04-25
\| \| \| \| \| \| \| \|	- vector to vector assign - PartialRedux - Vectorization criteria of Product - returned type of normalized - SSE integer mul
*	Fix a couple of issue with the vectorization. In particular, default ei_p* ↵	Gael Guennebaud	2008-04-24
\| \| \| \| \| \| \| \| \|	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.
*	* Add fixed-size template versions of corner(), start(), end().	Benoit Jacob	2008-04-12
\| \| \| \| \| \| \|	* Use them to write an unrolled path in echelon.cpp, as an experiment before I do this LU module. * For floating-point types, make ei_random() use an amplitude of 1.
*	split those files in util/	Benoit Jacob	2008-04-10
\| \| \| \|	some more renaming
*	Added initial experimental support for explicit vectorization.	Gael Guennebaud	2008-04-09
	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.