HPC Module: SuiteSparse

Synopsis

Adds the SuiteSparse API to your environment.

About This Software
Official Site	http://faculty.cse.tamu.edu/davis/suitesparse.html
Tags

Version	Install Date	Default?
5.6.0	2020-02-12

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= in MATLAB.
CHOLMOD: supernodal Cholesky. Appears as CHOL and x= in MATLAB. Now with CUDA acceleration, in collaboration with NVIDIA.
SPQR: multifrontal QR. Appears as QR and x= 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.