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Julia tutorial on creating a nonlinear optimization solver with JuliaSmoothOptimizers - part 2

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In this tutorial, we continue with the creation of an optimization solver with JuliaSmoothOptimizers.
This part explores the SolverTools output, which helps define a JSO-compliant solver, and also provides logging and benchmarking tools. We compare our solver against IPOPT and produce markdown and LaTeX tables using SolverBenchmark.
For more tutorials, follow me on twitch and twitter, and leave a comment with suggestions.
This part explores the SolverTools output, which helps define a JSO-compliant solver, and also provides logging and benchmarking tools. We compare our solver against IPOPT and produce markdown and LaTeX tables using SolverBenchmark.
For more tutorials, follow me on twitch and twitter, and leave a comment with suggestions.