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 NonconvexMMA to 1 for package OptimizationNonconvex, (keep existing compat) #633

Closed github-actions[bot] closed 8 months ago

github-actions[bot] commented 9 months ago

This pull request changes the compat entry for the NonconvexMMA package from 0.1 to 0.1, 1 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.