SuiteSparse is a suite of sparse matrix algorithms, including: * 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. * SPQR: multifrontal QR. Appears as QR and x=A\b in MATLAB. * KLU and BTF: sparse LU factorization, well-suited for circuit simulation. Appears in Xyce by Sandia, and many commercial circuit simulation packages. * 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. * UFget: a MATLAB interface for the UF Sparse Matrix Collection. * 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 C=A*B in MATLAB. * ... and many other packages.
WWW: http://faculty.cse.tamu.edu/davis/suitesparse.html
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