@@ -24,16 +24,19 @@ Pkg.add("LinearSolve")
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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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+ for guidance on PRs, issues, and other matters relating to contributing to SciML.
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+ - See the [ SciML Style Guide] ( https://github.com/SciML/SciMLStyle ) for common coding practices and other style decisions.
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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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+ - The #diffeq-bridged and #sciml-bridged channels in the
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+ [ Julia Slack] ( https://julialang.org/slack/ )
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+ - The #diffeq-bridged and #sciml-bridged channels in the
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+ [ Julia Zulip] ( https://julialang.zulipchat.com/#narrow/stream/279055-sciml-bridged )
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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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## Roadmap
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Wrappers for every linear solver in the Julia language is on the roadmap. If
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there are any important ones that are missing that you would like to see added,
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please open an issue. The current algorithms should support automatic differentiation.
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- Pre-defined preconditioners would be a welcome addition.
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+ Pre-defined preconditioners would be a welcome addition.
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