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14.0 > Academic > suitesparse (4.0.2)

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.


* 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.

* 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.

This requires: lapack

Maintained by: Pablo Santamaria
Keywords: octave,lapack,blas,sparce matrices


Source Downloads:
SuiteSparse-4.0.2.tar.gz (efe53b7ef2b529d54727815231a5a6a9)

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

(the SlackBuild does not include the source)

Validated for Slackware 14.0

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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