Commit Graph

12 Commits

Author SHA1 Message Date
Gael Guennebaud
905050b239 extend sparse product benchmark with ublas 2010-02-09 15:55:36 +01:00
Gael Guennebaud
c3823dce72 extend benchmark for sparse products 2010-01-05 16:03:35 +01:00
Gael Guennebaud
8f3e33581e extend the sparse matrix assembly benchmark 2009-10-07 14:25:53 +02:00
Gael Guennebaud
dde729379a various updates in the (still messy) sparse benchmarks 2009-01-28 20:32:28 +00:00
Gael Guennebaud
22792c696f add ublas vector of vector in sparse setter bench 2009-01-17 16:24:49 +00:00
Gael Guennebaud
cc6c4d807b add a sparse setter bench 2009-01-17 14:05:01 +00:00
Gael Guennebaud
f5741d4277 add a sparse * dense_vector bench 2009-01-14 18:27:17 +00:00
Gael Guennebaud
76fe2e1b34 add/update some benchmark files used to test/compare sparse module features 2008-10-19 17:06:11 +00:00
Gael Guennebaud
765219aa51 Big API change in Cholesky module:
* rename Cholesky to LLT
 * rename CholeskyWithoutSquareRoot to LDLT
 * rename MatrixBase::cholesky() to llt()
 * rename MatrixBase::choleskyNoSqrt() to ldlt()
 * make {LLT,LDLT}::solve() API consistent with other modules

Note that we are going to keep a source compatibility untill the next beta release.
E.g., the "old" Cholesky* classes, etc are still available for some time.
To be clear, Eigen beta2 should be (hopefully) source compatible with beta1,
and so beta2 will contain all the deprecated API of beta1. Those features marked
as deprecated will be removed in beta3 (or in the final 2.0 if there is no beta 3 !).

Also includes various updated in sparse Cholesky.
2008-10-13 15:53:27 +00:00
Gael Guennebaud
77a622f2bb add Cholesky and eigensolver benchmark 2008-07-08 17:20:17 +00:00
Gael Guennebaud
37a50fa526 * added an in-place version of inverseProduct which
might be twice faster fot small fixed size matrix
* added a sparse triangular solver (sparse version
  of inverseProduct)
* various other improvements in the Sparse module
2008-06-29 21:29:12 +00:00
Gael Guennebaud
027818d739 * added innerSize / outerSize functions to MatrixBase
* added complete implementation of sparse matrix product
  (with a little glue in Eigen/Core)
* added an exhaustive bench of sparse products including GMM++ and MTL4
  => Eigen outperforms in all transposed/density configurations !
2008-06-28 23:07:14 +00:00