sci SuiteSparse is a suite of sparse matrix libraries from University of Florida Computer Science Department. Currently, this includes: * AMD: symmetric approximate minimum degree * BTF: permutation to block triangular form * CAMD: symmetric approximate minimum degree * CCOLAMD: constrained column approximate minimum degree * COLAMD: column approximate minimum degree * CHOLMOD: sparse supernodal Cholesky factorization and update/downdate * CSparse: a concise sparse matrix package * CXSparse: an extended version of CSparse * KLU: sparse LU factorization, for circuit simulation * LDL: a simple LDL^T factorization * SPQR: multifrontal sparse QT factorization * UMFPACK: sparse multifrontal LU factorization * SuiteSparse_config: common configuration for all but CSparse The Gentoo package does not include the suitesparse MATLAB tools from upstream, from the packages above and the following MATLAB-only packages: * RBio: MATLAB toolbox for reading/writing sparse matrices * LINFACTOR: solve Ax=b using LU or CHOL * MESHND: 2D and 3D mesh generation and nested dissection * SSMULT: sparse matrix times sparse matrix Enable nvidia cuda toolkit for speeding up computations Enable the Partition module to cholmod using sci-libs/metis Enable multithreading with the Intel Threads Building Block dev-cpp/tbb