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Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable inte...

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I'm trying to write some code to include methods of [https://github.com/mohamed82008/Nonconvex.jl](url) to this repo. Will that be a welcomed PR? Thanks!

DiffEqFlux.sciml_train used to print an informative summary at the end, like this ``` * Status: failure * Candidate solution Final objective value: * Found with Algorithm: BFGS * Convergence measures...

In the SciML interfaces, all problems and solutions live in SciMLBase (as of... yesterday 😄). They satisfy the solution interface too: https://github.com/SciML/SciMLBase.jl/blob/master/src/solutions/solution_interface.jl I think we should get this return type...

NLopt has a ton, and it should be on almost every optimizer page.

documentation

I'm not sure we have the optimizer documentation style down quite yet. It has all of the right elements, but I think it's quite busy. So let's discuss this a...

documentation

The docs don't have any tutorials, for a start we should just add the test there and iterate from there.

Switching between Optim and BBO it is a pain to manually change between `time_limit` and `MaxTime` for the solve options. Not everything should be made consistent, but that (and the...

We should have verbose docstrings and more examples in the Readme to get users to start shifting to using the package.

documentation