| <?xml version="1.0" encoding="UTF-8"?> |
| <!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> |
| <pkgmetadata> |
| <maintainer type="project"> |
| <email>sci@gentoo.org</email> |
| <name>Gentoo Science Project</name> |
| </maintainer> |
| <longdescription lang="en"> |
| 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 |
| </longdescription> |
| <use> |
| <flag name="cuda">Enable nvidia cuda toolkit for speeding up computations</flag> |
| <flag name="metis">Enable the Partition module to cholmod using <pkg>sci-libs/metis</pkg></flag> |
| <flag name="tbb">Enable multithreading with the Intel Threads Building Block <pkg>dev-cpp/tbb</pkg></flag> |
| </use> |
| </pkgmetadata> |
