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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 ?