suitesparse

Set of packages for sparse matrix calculation

SuiteSparse is a set of sparse matrices libraries. It contains: * AMD: symmetric approximate minimum degree * BTF: permutation to block triangular form (beta) * CAMD: constrained approximate minimum degree ordering * CCOLAMD: constrained column approximate minimum degree * CHOLMOD: sparse supernodal Cholesky factorization and update/downdate * COLAMD: column approximate minimum degree * CSparse: a concise sparse matrix package * CXSparse: and extended version of CSparse * GraphBLAS: graph algorithms in the language of linear algebra * KLU: sparse LU factorization, for circuit simulation (beta) * LDL: a simple LDL^T factorization * Mongoose: graph partitioning * RBio: read/write sparse matrices * SLIP_LU : Sparse Left-looking Integer-Preserving LU Factorization * SPQR: sparse QR factorization * UMFPACK: sparse multifrontal LU factorization * SuiteSparse_config: common configuration for all of the above