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python33-suitesparse - A collection of sparse matrix libraries
- Description:
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
CSparse a concise sparse matrix package
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
SuiteSparse_config configuration file for all the above packages.
RBio read/write files in Rutherford/Boeing format
Packages