SciML / Optimization.jl

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 interface.
https://docs.sciml.ai/Optimization/stable/
MIT License
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CompatHelper: bump compat for NonconvexIpopt to 0.4 for package OptimizationNonconvex, (keep existing compat) #634

Closed github-actions[bot] closed 9 months ago

github-actions[bot] commented 10 months ago

This pull request changes the compat entry for the NonconvexIpopt package from 0.1.4 to 0.1.4, 0.4 for package OptimizationNonconvex. This keeps the compat entries for earlier versions.

Note: I have not tested your package with this new compat entry. It is your responsibility to make sure that your package tests pass before you merge this pull request.