{"@context":"https://w3id.org/codemeta/3.0","@type":"SoftwareSourceCode","identifier":"pkg:julia/LinearSolve","name":"LinearSolve","description":"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.","version":"3.65.0","softwareVersion":"3.65.0","license":"https://spdx.org/licenses/MIT","codeRepository":"https://github.com/SciML/LinearSolve.jl","issueTracker":"https://github.com/SciML/LinearSolve.jl/issues","url":"https://docs.sciml.ai/LinearSolve/stable/","keywords":["julia","scientific-machine-learning","differential-equations","sciml","linear-solvers","amg","distributed-computing","factorization","gpu","krylov-methods","linear-algebra","multigrid","newton-krylov","preconditioners"],"programmingLanguage":{"@type":"ComputerLanguage","name":"Julia"},"dateCreated":"2021-10-10","dateModified":"2026-03-01","datePublished":"2026-03-01","copyrightYear":2021,"softwareHelp":{"@type":"WebSite","url":"https://docs.juliahub.com/General/LinearSolve/stable/"},"applicationCategory":"julia","runtimePlatform":"julia","developmentStatus":"active","sameAs":["https://juliahub.com/ui/Packages/General/LinearSolve/"],"funder":[{"@type":"Organization","url":"https://github.com/sponsors/SciML"}],"https://www.w3.org/ns/activitystreams#likes":295,"https://forgefed.org/ns#forks":95}