Replaces closed-source sparse matrix factorization and linear algebra libraries. Implements state-of-the-art algorithms for Cholesky, LU, and QR decompositions in C and Fortran.
Tech Stack
CMathematics & Statistics
Why SuiteSparse?
• Industry-standard algorithms
• Highly optimized C core
• Broad language bindings
Limitations
• Complex build process
• Low-level API
• Strict licensing (GPL/LGPL)
3/6/2026
Last Update
307
Forks
34
Issues
Other
License
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