SlackBuilds Repository

15.0 > Academic > suitesparse (5.13.0)

suitesparse is a collection of libraries for computations involving
sparse matrices. The package includes the following libraries:

AMD: approximate minimum degree ordering.
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 & BTF: 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.
RBio: read/write files in Rutherford/Boeing format.
GraphBLAS: graph algorithms in the language of linear algebra
Mongoose: graph partitioning
ssget: MATLAB and Java interface to the SuiteSparse Matrix Collection

Suitesparse is an optional dependency for the octave package.

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. also has all the parts of this suite as individual
builds - DO NOT try and install the individual parts and the suite;
choose one or the other.

For Slackware 15.0, suitesparse's version is being held at 5.13.0.
Later versions are not compatible with 15.0 supplied version of cmake.

This requires: lapack, chrpath, OpenBLAS

Maintained by: Christoph Willing
Keywords: octave,lapack,blas,sparce matrices
ChangeLog: suitesparse


Source Downloads:
SuiteSparse-5.13.0.tar.gz (e9e7bc594b77ae4b58d943cdc286d679)

Download SlackBuild:
suitesparse.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Individual Files:

Validated for Slackware 15.0

See our HOWTO for instructions on how to use the contents of this repository.

Access to the repository is available via:
ftp git cgit http rsync

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