Add SuiteSparse 5.9.0 #2064
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Add SuiteSparse 5.9.0 #2064
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From the [Web site][1]: > 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. The build/installation abuses `INSTALL` as `DESTDIR`, although it is probably meant as `PREFIX`. [1]: https://people.engr.tamu.edu/davis/suitesparse.html
The Makefile needs to be adapted, as it cannot be done on the command
line.
make CUDA=no
pmenzel
force-pushed
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colamd is needed by AUGUSTUS.