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juliahub.com : LinearSolvePardiso

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.

Registry - Source - Documentation - JSON
purl: pkg:julia/LinearSolvePardiso
Keywords: amg, newton-krylov, preconditioners, scientific-machine-learning, factorization, gpu, krylov-methods, distributed-computing, julia, linear-solvers, linear-algebra, sciml, differential-equations, multigrid
License: MIT
Latest release: over 2 years ago
First release: over 2 years ago
Stars: 220 on GitHub
Forks: 46 on GitHub
Total Commits: 1078
Committers: 45
Average commits per author: 23.956
Development Distribution Score (DDS): 0.409
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: about 15 hours ago