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
May 21, 2024 - C
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
Easy-to-use linear and non-linear solver
Julia Wrapper for the KLU sparse matrix solver
CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake
Graph Signal Processing in R
Solve sparse linear systems in JAX using the KLU algorithm
Numerical Linear Algebra meets Machine Learning - PSE Project
GraphBLAS for Python
MATLAB exercises for Scientific Computation.
An Anymatrix interface to the SuiteSparse Matrix Collection
Find Eigenvalues and Eigenvectors with Rust using UMFPACK + ARPACK
Code scripts for implementing Bjorck-Duff's algorithm.
Development of SuiteSparse.jl, which ships as part of the Julia standard library.
Sparse Boolean linear algebra for Nvidia Cuda, OpenCL and CPU computations
A sparse KLU solver for PyTorch.
Graph Algorithms written in the language of linear algebra using Julia and Suite Sparse Graph Blas
Set up cholmod and scikit-sparse python package on Windows.
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