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GitHub / SciML / LinearSolve.jl
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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SciML%2FLinearSolve.jl
Stars: 220
Forks: 46
Open issues: 67
License: other
Language: Julia
Size: 4.06 MB
Dependencies parsed at:
0
Created at: almost 3 years ago
Updated at: about 1 month ago
Pushed at: 2 months ago
Last synced at: about 2 months ago
Commit Stats
Commits: 1078
Authors: 45
Mean commits per author: 23.96
Development Distribution Score: 0.409
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SciML/LinearSolve.jl
Topics: amg, differential-equations, distributed-computing, factorization, gpu, julia, krylov-methods, linear-algebra, linear-solvers, multigrid, newton-krylov, preconditioners, scientific-machine-learning, sciml
Donate: https://github.com/sponsors/SciML
Files
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