The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
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Updated
Nov 4, 2024 - C
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake
GraphBLAS for Python
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
A sparse KLU solver for PyTorch.
Easy-to-use linear and non-linear solver
Set up cholmod and scikit-sparse python package on Windows.
Solve sparse linear systems in JAX using the KLU algorithm
Julia Wrapper for the KLU sparse matrix solver from SuiteSparse
Development of SuiteSparse.jl, which ships as part of the Julia standard library.
Sparse Boolean linear algebra for Nvidia Cuda, OpenCL and CPU computations
Graph Signal Processing in R
Command line tool for working with matrices from the SuiteSparse Matrix Collection (sparse.tamu.edu)
Test cases demonstrating different sparse matrix libraries
Numerical Linear Algebra meets Machine Learning - PSE Project
Find Eigenvalues and Eigenvectors with Rust using UMFPACK + ARPACK
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