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38 lines
1.6 KiB
Text
38 lines
1.6 KiB
Text
suitesparse is a collection of libraries for computations involving sparse
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matrices. The package includes the following libraries:
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AMD: approximate minimum degree ordering.
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BTF: permutation to block triangular form (beta).
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CAMD: constrained approximate minimum degree ordering.
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COLAMD: column approximate minimum degree ordering.
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CCOLAMD: constrained column approximate minimum degree ordering.
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CHOLMOD: sparse Cholesky factorization.
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CXSparse: CSparse extended: complex matrix, int and long int support.
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KLU: sparse LU factorization, primarily for circuit simulation.
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LDL: a simple LDL^t factorization.
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SQPR: a multithread, multifrontal, rank-revealing sparse QR
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factorization method.
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UMFPACK: sparse LU factorization.
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SuiteSparse_config: configuration file for all the above packages.
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RBio: read/write files in Rutherford/Boeing format.
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Suitesparse is an optional dependency for the octave package.
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NOTES:
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* CHOLMOD is now compiled to use the METIS library. It was not
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used previously because the licensing terms of earlier METIS
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versions excluded it from Octave in some circumstances. Recent
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versions of METIS now use the Apache License Version 2.0 and
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should cause no problems. However if it is still desired to
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build CHOLMOD without METIS, set the USEMETIS environment
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variable to "no" when running the SlackBuild e.g.
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USEMETIS=no sh suitesparse.SlackBuild
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* CXSparse is a superset of CSparse, and the two share common header
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names, so it does not make sense to build both. CXSparse is built
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by default.
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* SlackBuilds.org also has all the parts of this suite as individual
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builds - DO NOT try and install the individual parts and the suite;
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pick one or the other.
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