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Merge pull request #110 from ChrisRackauckas-Claude/remove-perf-lu
Remove unused perf/lu.jl benchmark script
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README.md

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@@ -32,7 +32,8 @@ julia> RecursiveFactorization.lu!(copy(A), Vector{Int}(undef, size(A, 2))); # in
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#### Performance:
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For small to medium sized matrices, it is beneficial to use
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`RecursiveFactorization` over `OpenBLAS`. The benchmark script is available in
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`perf/lu.jl`
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`RecursiveFactorization` over `OpenBLAS`. The
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[SciMLBenchmarks LU factorization benchmark](https://docs.sciml.ai/SciMLBenchmarksOutput/stable/LinearSolve/LUFactorization/)
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compares `RFLUFactorization` against the standard alternatives.
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![lubench](https://user-images.githubusercontent.com/17304743/81491200-555b1a80-9259-11ea-95c1-ae98b36f3779.png)

perf/lu.jl

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