suitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD: approximate minimum degree ordering. BTF: permutation to block triangular form (beta). CAMD: constrained approximate minimum degree ordering. COLAMD: column approximate minimum degree ordering. CCOLAMD: constrained column approximate minimum degree ordering. CHOLMOD: sparse Cholesky factorization. CXSparse: CSparse extended: complex matrix, int and long int support. KLU: sparse LU factorization, primarily for circuit simulation. LDL: a simple LDL^t factorization. SQPR: a multithread, multifrontal, rank-revealing sparse QR factorization method. UMFPACK: sparse LU factorization. SuiteSparse_config: configuration file for all the above packages. RBio: read/write files in Rutherford/Boeing format. Suitesparse is an optional dependency for the octave package. NOTES: * To build octave with SuiteSparse 4.x you'll need to add a second library to the octave's configure option --with-umfpack: --with-umfpack="-lumfpack -lsuitesparseconfig" * CHOLMOD can also be compiled to use the METIS library, but it is not used here because its licensing terms exclude it from Octave. * CXSparse is a superset of CSparse, and the two share common header names, so it does not make sense to build both. CXSparse is built by default. * SlackBuilds.org also has all the parts of this suite as individual builds - DO NOT try and install the individual parts and the suite; pick one or the other.