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* * basic support for multicore CPU via a .evalOMP() whichGravatar Gael Guennebaud2008-03-09
| | | | | internaly uses OpenMP if enabled at compile time. * added a bench/ folder with a couple benchmarks and benchmark tools.
* * coefficient wise operators are more generic, with controllable result type.Gravatar Gael Guennebaud2008-03-06
| | | | | | - compatible with current STL's functors as well as with the extention proposal (TR1) * thanks to the above, Cast and ScalarMultiple have been removed * benchmark_suite is more flexible (compiler and matrix size)
* - make MatrixBase and all expressions aware of their preferred traversal order.Gravatar Benoit Jacob2008-01-05
Honor this preference in operator=. - add several methods to the API - rework API for diagonal matrices - add benchmarking code