Editing Sparse matrix (section)

==Software==

Many software libraries support sparse matrices, and provide solvers for sparse matrix equations. The following are open-source:
* [[Portable, Extensible Toolkit for Scientific Computation|PETSc]], a large C library, containing many different matrix solvers for a variety of matrix storage formats.
* [[Trilinos]], a large C++ library, with sub-libraries dedicated to the storage of dense and sparse matrices and solution of corresponding linear systems.
* [[Eigen (C++ library)|Eigen3]] is a C++ library that contains several sparse matrix solvers. However, none of them are [[Parallel computing|parallelized]].
* [[MUMPS (software)|MUMPS]] ('''MU'''ltifrontal '''M'''assively '''P'''arallel sparse direct '''S'''olver), written in Fortran90, is a [[frontal solver]].
* [[deal.II]], a finite element library that also has a sub-library for sparse linear systems and their solution.
* [[Dune (mathematics software)|DUNE]], another finite element library that also has a sub-library for sparse linear systems and their solution.
* [[Armadillo (C++ library)|Armadillo]] provides a user-friendly C++ wrapper for BLAS and LAPACK.
* [[SciPy]] provides support for several sparse matrix formats, linear algebra, and solvers.
* [[ALGLIB]] is a C++ and C# library with sparse linear algebra support
* [[ARPACK]] Fortran 77 library for sparse matrix diagonalization and manipulation, using the Arnoldi algorithm
* [[SLEPc]] Library for solution of large scale linear systems and sparse matrices
* [[scikit-learn]], a Python library for [[machine learning]], provides support for sparse matrices and solvers
* [https://docs.julialang.org/en/v1/stdlib/SparseArrays/ SparseArrays] is a [[Julia (programming language)|Julia]] standard library.
* [[PSBLAS]], software toolkit to solve sparse linear systems supporting multiple formats also on GPU.