The function JacobiSVD and BDCSVD can calcuate condtion number of a dense matrix via singular values. However I need to know condition number of a sparese matrix due to slow computation speed using iterative linear solver. I can't find such function. If the sparse matrix is converted to one dense one in advance, the memory allocation occur because of large size of the matrix(about 10,000 x 10, 000). Many people may encounter this problem. Is there one way there to calculate condition number for a large sparese matrix in Eigen?