We expose our solvers (from Eigen/IterativeLinearSolvers) with dense matrices as entry (MatrixXd).
Yet, in Eigen, they are exposed and tested with sparse matrices too (Eigen::SparseMatrix) - in solvers like BiCGSTAB, MINRES, ConjugateGradient, LeastSquaresConjugateGradient
Is it of interest to expose them with sparse matrices in nanoeigenpy ?
We expose our solvers (from
Eigen/IterativeLinearSolvers) with dense matrices as entry (MatrixXd).Yet, in
Eigen, they are exposed and tested with sparse matrices too (Eigen::SparseMatrix) - in solvers likeBiCGSTAB,MINRES,ConjugateGradient,LeastSquaresConjugateGradientIs it of interest to expose them with sparse matrices in
nanoeigenpy?