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.

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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

Funding links: https://github.com/sponsors/SciML

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