sparse-linear-algebra

Tech stack & purpose

sparse-linear-algebra is a Haskell library providing numerical linear algebra computation without external bindings. The project implements common operations across BLAS levels 1–3, iterative solvers (including BiCGSTAB and Conjugate Gradient Squared), direct solvers based on LU factorization, matrix factorizations, eigenvalue algorithms, and various utilities like norms and matrix condition numbers. The library is built entirely in native Haskell and serves as an experimental platform for functional scientific computation, with support for sparse vectors and matrices to optimize memory usage and performance on large systems.

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Contributors

• ocramz661 commits
• Marco Zocca18 commits
• copilot-swe-agent[bot]10 commits
• Copilot9 commits
• Gregory W. Schwartz9 commits
• Joshua Moerman8 commits
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  Marco Z5 commits · 326 followers