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Setting up CUTEst benchmarks dir structure
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---
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title: Benchmarking with the problems in CUTEst
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author: Alonso M. Cisneros
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---
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> This would likely turn into either contributions to CUTEst or wrappers to CUTEst (hosted
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> in SciML) which which transform the NLPModels form into Optimization.jl, and a
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> benchmarking script that loops over all optimization problems and applies a set of
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> optimizers to each of them, computing summary statistics at the bottom.
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CUTEst, the Constraind and Unconstrained Testing Environment is, as the name suggests is a
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collection of around 1500 problems for general nonlinear optimization used to test
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optimization routines. The wrapper
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[CUTEst.jl](https://github.com/JuliaSmoothOptimizers/CUTEst.jl) provides convenient access
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to the problem collection, which we can leverage to test the optimizers made available by
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Optimization.jl.
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```julia
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```

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