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13.37 > Academic > suitesparse (3.4.0)

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' factorization
SQPR a multithread, multifrontal, rank-revealing sparse QR
factorization method
UMFPACK sparse LU factorization
UFconfig configuration file for all the above packages.

This requires blas and lapack.

suitesparse is an optional dependency for the octave package.

NOTES:

* 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.

* SlackBuilds.org 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.

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

Homepage:
http://www.cise.ufl.edu/research/sparse/SuiteSparse/

Source Downloads:
SuiteSparse-3.4.0.tar.gz (e59dcabc9173b1ba1b3659ae147006b8)

Download SlackBuild:
suitesparse.tar.gz
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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