sci-libs / suitesparse

Meta package for a suite of sparse matrix tools

Official package sites : http://www.cise.ufl.edu/research/sparse/SuiteSparse/ ·

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

v4.2.1 :: 0 :: gentoo

Modified
License
LGPL-2.1 GPL-2
Keywords
~amd64 ~amd64-linux ~x86 ~x86-linux
USE flags
cuda doc lapack metis tbb

v4.0.2 :: 0 :: gentoo

Modified
License
LGPL-2.1 GPL-2
Keywords
~amd64 ~amd64-linux ~x86 ~x86-linux
USE flags
cuda doc lapack metis tbb

General

cuda
Missing description
doc
Add extra documentation (API, Javadoc, etc). It is recommended to enable per package instead of globally
lapack
Add support for the virtual/lapack numerical library
metis
Missing description
tbb
Missing description

sci-libs / amd : Library to order a sparse matrix prior to Cholesky factorization

sci-libs / btf : Algorithm for matrix permutation into block triangular form

sci-libs / camd : Library to order a sparse matrix prior to Cholesky factorization

sci-libs / ccolamd : Constrained Column approximate minimum degree ordering algorithm

sci-libs / cholmod : Sparse Cholesky factorization and update/downdate library

sci-libs / colamd : Column approximate minimum degree ordering algorithm

sci-libs / cxsparse : Extended sparse matrix package

sci-libs / klu : Sparse LU factorization for circuit simulation

sci-libs / ldl : Simple but educational LDL^T matrix factorization algorithm

sci-libs / spqr : Multithreaded multifrontal sparse QR factorization library

sci-libs / suitesparseconfig : Common configurations for all packages in suitesparse

sci-libs / umfpack : Unsymmetric multifrontal sparse LU factorization library

Robin H. Johnson · gentoo
Drop $Id$ per council decision in bug #611234.
Signed-off-by: Robin H. Johnson <robbat2@gentoo.org>
Robin H. Johnson · gentoo
proj/gentoo: Initial commit
This commit represents a new era for Gentoo: Storing the gentoo-x86 tree in Git, as converted from CVS. This commit is the start of the NEW history. Any historical data is intended to be grafted onto this point. Creation process: 1. Take final CVS checkout snapshot 2. Remove ALL ChangeLog* files 3. Transform all Manifests to thin 4. Remove empty Manifests 5. Convert all stale $Header$/$Id$ CVS keywords to non-expanded Git $Id$ 5.1. Do not touch files with -kb/-ko keyword flags. Signed-off-by: Robin H. Johnson <robbat2@gentoo.org> X-Thanks: Alec Warner <antarus@gentoo.org> - did the GSoC 2006 migration tests X-Thanks: Robin H. Johnson <robbat2@gentoo.org> - infra guy, herding this project X-Thanks: Nguyen Thai Ngoc Duy <pclouds@gentoo.org> - Former Gentoo developer, wrote Git features for the migration X-Thanks: Brian Harring <ferringb@gentoo.org> - wrote much python to improve cvs2svn X-Thanks: Rich Freeman <rich0@gentoo.org> - validation scripts X-Thanks: Patrick Lauer <patrick@gentoo.org> - Gentoo dev, running new 2014 work in migration X-Thanks: Michał Górny <mgorny@gentoo.org> - scripts, QA, nagging X-Thanks: All of other Gentoo developers - many ideas and lots of paint on the bikeshed