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Update README.md
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README.md

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[![codecov.io](http://codecov.io/github/JuliaLinearAlgebra/AlgebraicMultigrid.jl/coverage.svg?branch=master)](http://codecov.io/github/JuliaLinearAlgebra/AlgebraicMultigrid.jl?branch=master)
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[![Build status](https://ci.appveyor.com/api/projects/status/0wnj4lhk1rvl5pjp?svg=true)](https://ci.appveyor.com/project/ranjanan/algebraicmultigrid-jl)
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This package lets you solve sparse linear systems using Algebraic Multigrid (AMG). This works especially well for symmetric positive definite matrices.
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## Usage
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```julia
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using AMG
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using AlgebraicMultigrid
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A = poisson(1000) # Creates a sample symmetric positive definite sparse matrix
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ml = ruge_stuben(A) # Construct a Ruge-Stuben solver
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Smoothers:
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* Gauss Seidel (Symmetric, Forward, Backward)
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* Damped Jacobi
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Cycling:
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* V cycle
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In the future, this package will support:
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1. Other splitting methods (like CLJP)
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2. SOR, Jacobi smoothers
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2. SOR smoother
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3. W, F, AMLI cycles
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#### Acknowledgements

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