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SuiteSparse is a set of sparse matrices libraries.
It contains:
* AMD: symmetric approximate minimum degree
* BTF: permutation to block triangular form (beta)
* CAMD: constrained approximate minimum degree ordering
* CCOLAMD: constrained column approximate minimum degree
* CHOLMOD: sparse supernodal Cholesky factorization and update/downdate
* COLAMD: column approximate minimum degree
* CSparse: a concise sparse matrix package
* CXSparse: and extended version of CSparse
* GraphBLAS: graph algorithms in the language of linear algebra
* KLU: sparse LU factorization, for circuit simulation (beta)
* LDL: a simple LDL^T factorization
* Mongoose: graph partitioning
* RBio: read/write sparse matrices
* SLIP_LU : Sparse Left-looking Integer-Preserving LU Factorization
* SPQR: sparse QR factorization
* UMFPACK: sparse multifrontal LU factorization
* SuiteSparse_config: common configuration for all of the above
WWW: http://faculty.cse.tamu.edu/davis/suitesparse.html
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