eigen/Eigen
Benoit Jacob 2840ac7e94 big huge changes, so i dont remember everything.
* renaming, e.g. LU ---> FullPivLU
* split tests framework: more robust, e.g. dont generate empty tests if a number is skipped
* make all remaining tests use that splitting, as needed.
* Fix 4x4 inversion (see stable branch)
* Transform::inverse() and geo_transform test : adapt to new inverse() API, it was also trying to instantiate inverse() for 3x4 matrices.
* CMakeLists: more robust regexp to parse the version number
* misc fixes in unit tests
2009-10-28 18:19:29 -04:00
..
src big huge changes, so i dont remember everything. 2009-10-28 18:19:29 -04:00
Array * rename PartialRedux to VectorwiseOp 2009-06-10 11:20:30 +02:00
Cholesky s/cholesky/llt in precompiled lib and BTL 2009-02-06 14:01:01 +00:00
CMakeLists.txt rename the EigenSolver module to Eigenvalues 2009-09-04 09:23:38 +02:00
Core undef B0 2009-09-19 19:14:28 -04:00
Dense add "Dense" header 2009-06-19 19:09:35 +02:00
Eigen add Eigen/Eigen 2009-06-19 20:46:55 +02:00
Eigenvalues rename the EigenSolver module to Eigenvalues 2009-09-04 09:23:38 +02:00
Geometry revert previous change in Quaternion::setFromTwoVectors 2009-08-15 23:37:20 +02:00
Householder * add a HouseholderSequence class (not good enough yet for Triadiagonalization and HessenbergDecomposition) 2009-09-16 14:35:42 +02:00
Jacobi add examples for makeJacobi and makeGivens 2009-09-03 11:17:16 +02:00
LeastSquares rename the EigenSolver module to Eigenvalues 2009-09-04 09:23:38 +02:00
LU big huge changes, so i dont remember everything. 2009-10-28 18:19:29 -04:00
QR big huge changes, so i dont remember everything. 2009-10-28 18:19:29 -04:00
QtAlignedMalloc Removed debug cout. 2009-09-02 21:23:09 +02:00
Sparse add a SparseNestByValue expression and fix issue in sparse adjoint evaluation 2009-07-13 14:55:03 +02:00
StdVector fix compilation with gcc 4.1. Indeed the path for recent gcc doesn't work with gcc 4.1, and looking at the implementation of vector in g++ 4.1, it was exactly our fallback case, so use that. 2009-08-21 12:16:37 -04:00
SVD JacobiSVD: implement general R-SVD using full-pivoting QR, so we now support any rectangular matrix size by reducing to the smaller of the two dimensions (which is also an optimization) 2009-09-02 06:36:55 -04:00