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
    * SPQR: sparse QR factorization
    * UMFPACK: sparse multifrontal LU factorization
    * UFconfig: common configuration for all of the above

WWW: http://faculty.cse.tamu.edu/davis/suitesparse.html