suitesparse

Descrizione

SuiteSparse is a suite of sparse matrix algorithms, including:

* GraphBLAS: graph algorithms in the language of linear algebra * Mongoose: graph partitioning * ssget: MATLAB and Java interface to the SuiteSparse Matrix Collection * UMFPACK: multifrontal LU factorization.  Appears as LU and x=A\b in MATLAB. * CHOLMOD: supernodal Cholesky.  Appears as CHOL and x=A\b in MATLAB.  Now with CUDA acceleration, in collaboration with NVIDIA. * SPQR: multifrontal QR.  Appears as QR and x=A\b in MATLAB, with CUDA acceleration. * KLU and BTF:  sparse LU factorization, well-suited for circuit simulation. * Ordering methods (AMD, CAMD, COLAMD, and CCOLAMD).  AMD and COLAMD appear in MATLAB. * CSparse and CXSparse: a concise sparse Cholesky factorization package for my SIAM book. * spqr_rank: a MATLAB package for reliable sparse rank detection, null set bases, pseudoinverse solutions, and basic solutions. * Factorize: an object-oriented solver for MATLAB (a reusable backslash). * SSMULT and SFMULT: sparse matrix multiplication.  Appears as the built-in C=A*B operator in MATLAB. * ... and many other packages.