Hi,

is it possible to use DynamicSparseMatrices for a singular value decomposition?

I'm getting this error:

Code: Select all

/home/manuel/Programs/lib/eigen/Eigen/src/SVD/JacobiSVD.h:268: error: ‘Options’ is not a member of ‘Eigen::DynamicSparseMatrix<double, 0, int>’


Is this combination impossible in Eigen?

Cheers,

Manuel

Ok, now I understood: JacobiSVD's parameter is not the input but the output type.

But would it be possible to tell JacobiSVD just to compute the smallest/largest N singular values and corresponding vectors?

JacobiSVD is for dense matrices only. Sparse SVD algorithms are quite different and currently we don't offer that. sorry.

Ok, so I've got to use ARPACK++. Thanks anyway!