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- # LinearSolve.jl: High-Performance Unified Linear Solvers
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+ # Overview
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- LinearSolve.jl is a unified interface for the linear solving packages of
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+ LinearSolve.jl is a high-performance unified interface for the linear solving packages of
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Julia. It interfaces with other packages of the Julia ecosystem
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to make it easy to test alternative solver packages and pass small types to
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control algorithm swapping. It also interfaces with the
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[ ModelingToolkit.jl] ( https://mtk.sciml.ai/dev/ ) world of symbolic modeling to
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allow for automatically generating high-performance code.
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- Performance is key: the current methods are made to be highly performant on
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- scalar and statically sized small problems, with options for large-scale systems.
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- If you run into any performance issues, please file an issue.
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-
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- ## Installation
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-
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- To install LinearSolve.jl, use the Julia package manager:
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-
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- ``` julia
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- using Pkg
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- Pkg. add (" LinearSolve" )
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- ```
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-
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- ## Contributing
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-
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- - Please refer to the
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- [ SciML ColPrac: Contributor's Guide on Collaborative Practices for Community Packages] ( https://github.com/SciML/ColPrac/blob/master/README.md )
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- for guidance on PRs, issues, and other matters relating to contributing to ModelingToolkit.
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- - There are a few community forums:
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- - the #diffeq-bridged channel in the [ Julia Slack] ( https://julialang.org/slack/ )
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- - [ JuliaDiffEq] ( https://gitter.im/JuliaDiffEq/Lobby ) on Gitter
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- - on the [ Julia Discourse forums] ( https://discourse.julialang.org )
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- - see also [ SciML Community page] ( https://sciml.ai/community/ )
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-
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## Roadmap
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Wrappers for every linear solver in the Julia language is on the roadmap. If
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