| Commit message (Collapse) | Author | Age | |
|---|---|---|---|
| * | * added an in-place version of inverseProduct which |  Gael Guennebaud | 2008-06-29 |
| | | | | | | | | 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 | ||
| * | * added innerSize / outerSize functions to MatrixBase | Gael Guennebaud | 2008-06-28 |
| | | | | | | | | * 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 ! | ||
| * | various work on the Sparse module: | Gael Guennebaud | 2008-06-26 |
| * added some glue to Eigen/Core (SparseBit, ei_eval, Matrix) * add two new sparse matrix types: HashMatrix: based on std::map (for random writes) LinkedVectorMatrix: array of linked vectors (for outer coherent writes, e.g. to transpose a matrix) * add a SparseSetter class to easily set/update any kind of matrices, e.g.: { SparseSetter<MatrixType,RandomAccessPattern> wrapper(mymatrix); for (...) wrapper->coeffRef(rand(),rand()) = rand(); } * automatic shallow copy for RValue * and a lot of mess ! plus: * remove the remaining ArrayBit related stuff * don't use alloca in product for very large memory allocation | |||
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index : eigen | |
| C++ library for linear algebra |
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