Benoit Jacob 22d65d47d0 finally, the good approach was two-sided Jacobi. Indeed, it allows ... to guarantee the precision of the output, which is very valuable. Here, we guarantee that the diagonal matrix returned by the SVD is actually diagonal, to machine precision. Performance isn't bad at all at 50% of the current householder SVD performance for a 200x200 matrix (no vectorization) and we have lots of room for improvement.		2009-08-12 02:35:07 -04:00
..
src	finally, the good approach was two-sided Jacobi. Indeed, it allows	2009-08-12 02:35:07 -04:00
Array	* rename PartialRedux to VectorwiseOp	2009-06-10 11:20:30 +02:00
Cholesky
CMakeLists.txt
Core	more product refactoring	2009-08-06 12:20:02 +02:00
Dense	add "Dense" header	2009-06-19 19:09:35 +02:00
Eigen	add Eigen/Eigen	2009-06-19 20:46:55 +02:00
Geometry	switch from eigensolver to SVD which seems to be more accurate with float	2009-07-06 11:15:38 +02:00
Householder	add new Householder module	2009-08-03 16:06:57 +02:00
Jacobi	* add Jacobi transformations	2009-08-09 16:58:13 +02:00
LeastSquares	reimplement linearRegression on top of fitHyperplane which is much better	2009-05-05 17:15:35 +00:00
LU	add partial-pivoting LU decomposition	2009-05-13 02:02:22 +00:00
QR	minor compilation fixes for Sun CC and ICC	2009-07-20 13:27:41 +02:00
QtAlignedMalloc	fix #3, remove inline keywords in QtAlignedMalloc (MSVC fix)	2009-05-18 18:09:21 +02:00
Sparse	add a SparseNestByValue expression and fix issue in sparse adjoint evaluation	2009-07-13 14:55:03 +02:00
StdVector	remove sentence "Eigen itself is part of the KDE project."	2009-05-22 20:25:33 +02:00
SVD	remove #include Bidiagonalization, and add missing ";"	2009-08-11 15:08:03 +02:00