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# LinearSolvers
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[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://EdelmanJonathan.github.io/LinearSolvers.jl/stable)
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[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://EdelmanJonathan.github.io/LinearSolvers.jl/dev)
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[![Build Status](https://github.com/EdelmanJonathan/LinearSolvers.jl/workflows/CI/badge.svg)](https://github.com/EdelmanJonathan/LinearSolvers.jl/actions)
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[![Coverage](https://codecov.io/gh/EdelmanJonathan/LinearSolvers.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/EdelmanJonathan/LinearSolvers.jl)
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[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](http://linearsolve.sciml.ai/stale)
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[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](http://linearsolve.sciml.ai/dev)
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[![Build Status](https://github.com/SciML/LinearSolvers.jl/workflows/CI/badge.svg)](https://github.com/SciML/LinearSolvers.jl/actions)
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[![Coverage](https://codecov.io/gh/SciML/LinearSolvers.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/SciML/LinearSolvers.jl)
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Fast implementations of linear solving algorithms in Julia that satisfy the SciML
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common interface. LinearSolve.jl makes it easy to define high level algorithms
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which allow for swapping out the linear solver that is used while maintaining
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maximum efficiency.
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For information on using the package,
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[see the stable documentation](https://nonlinearsolve.sciml.ai/stable/). Use the
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[in-development documentation](https://nonlinearsolve.sciml.ai/dev/) for the version of
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[see the stable documentation](https://linearsolve.sciml.ai/stable/). Use the
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[in-development documentation](https://linearsolve.sciml.ai/dev/) for the version of
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the documentation which contains the unreleased features.
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## High Level Examples

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