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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)

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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