2010-08-28 20:27:45 +02:00
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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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2013-01-03 17:53:53 +01:00
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AMD: approximate minimum degree ordering.
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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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2019-02-14 05:54:31 +01:00
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KLU & BTF: sparse LU factorization, primarily for circuit simulation.
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2013-01-03 17:53:53 +01:00
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LDL: a simple LDL^t factorization.
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2016-11-14 19:09:57 +01:00
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SQPR: a multithread, multifrontal, rank-revealing sparse QR
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factorization method.
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2013-01-03 17:53:53 +01:00
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UMFPACK: sparse LU factorization.
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RBio: read/write files in Rutherford/Boeing format.
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2019-02-14 05:54:31 +01:00
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GraphBLAS: graph algorithms in the language of linear algebra
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Mongoose: graph partitioning
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ssget: MATLAB and Java interface to the SuiteSparse Matrix Collection
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2013-01-03 17:53:53 +01:00
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Suitesparse is an optional dependency for the octave package.
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2010-08-28 20:27:45 +02:00
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2019-02-14 05:54:31 +01:00
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CXSparse is a superset of CSparse, and the two share common header
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2013-01-03 17:53:53 +01:00
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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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2010-08-28 20:27:45 +02:00
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2019-02-14 05:54:31 +01:00
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SlackBuilds.org also has all the parts of this suite as individual
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2013-01-03 17:53:53 +01:00
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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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