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juliahub.com : LinearSolve
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.
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Source
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purl: pkg:julia/LinearSolve
Keywords: sciml, preconditioners, julia, scientific-machine-learning, differential-equations, linear-solvers, amg, distributed-computing, factorization, gpu, krylov-methods, linear-algebra, multigrid, newton-krylov
License: MIT
Latest release: 4 days ago
First release: over 2 years ago
Dependent packages: 27
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
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Funding links: https://github.com/sponsors/SciML
Last synced: 3 days ago