eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	Remove executable here too	Laurent Montel	2008-11-04
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*	norm2() renamed to squaredNorm(), kept as deprecated for now.	Benoit Jacob	2008-11-03
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*	spelling + some krazy directives	Gael Guennebaud	2008-08-28
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*	Various compilation fixes for MSVC 9. All tests compile but some	Gael Guennebaud	2008-08-19
\| \| \| \|	still fail at runtime in ei_aligned_free() (even without vectorization).
*	Optimizations:	Gael Guennebaud	2008-08-01
\| \| \| \| \| \| \| \|	* faster matrix-matrix and matrix-vector products (especially for not aligned cases) * faster tridiagonalization (make it using our matrix-vector impl.) Others: * fix Flags of Map * split the test_product to two smaller ones
*	Add .perpendicular() function in Geometry module (adapted from Eigen1)	Gael Guennebaud	2008-07-22
\| \| \| \| \| \|	Documentation: * add an overview for each module. * add an example for .all() and Cwise::operator<
*	* Merge Extract and Part to the Part expression.	Gael Guennebaud	2008-07-21
\| \| \| \| \| \|	Renamed "MatrixBase::extract() const" to "MatrixBase::part() const" * Renamed static functions identity, zero, ones, random with an upper case first letter: Identity, Zero, Ones and Random.
*	* split Product to a DiagonalProduct template specialization	Gael Guennebaud	2008-06-15
\| \| \| \| \| \| \| \| \| \|	to optimize matrix-diag and diag-matrix products without making Product over complicated. * compilation fixes in Tridiagonalization and HessenbergDecomposition in the case of 2x2 matrices. * added an Orientation2D small class with similar interface than Quaternion (used by Transform to handle 2D and 3D orientations seamlessly) * added a couple of features in Transform.
*	Add QR and Cholesky module instantiations in the lib.	Gael Guennebaud	2008-06-14
\| \| \| \|	To try it with the unit tests set the cmake variable TEST_LIB to ON.
*	Added a Hessenberg decomposition class for both real and complex matrices.	Gael Guennebaud	2008-06-08
\| \| \| \| \| \| \|	This is the first step towards a non-selfadjoint eigen solver. Notes: - We might consider merging Tridiagonalization and Hessenberg toghether ? - Or we could factorize some code into a Householder class (could also be shared with QR)
*	* rewrite of the QR decomposition:	Gael Guennebaud	2008-06-07
\| \| \| \| \| \|	- works for complex - allows direct access to the matrix R * removed the scale by the matrix dimensions in MatrixBase::isMuchSmallerThan(scalar)
*	fix some compile errors with gcc 4.3, some warnings, some documentation	Benoit Jacob	2008-06-06
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*	add an optimized path for the tridiagonalization of a 3x3 matrix.	Gael Guennebaud	2008-06-04
\| \| \| \|	(useful for plane fitting, and covariance analysis of 3D data)
*	added a static assertion mechanism	Gael Guennebaud	2008-06-04
\| \| \| \|	(see notes in Core/util/StaticAssert.h for details)
*	fix eigenvectors computations :)	Gael Guennebaud	2008-06-03
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*	Rewrite from scratch of the eigen solver for symmetric matrices	Gael Guennebaud	2008-06-02
\| \| \| \| \|	which now supports selfadjoint matrix. The implementation follows Golub's famous book.
*	* added a Tridiagonalization class for selfadjoint matrices	Gael Guennebaud	2008-06-01
	* 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.