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.
This pull request changes the compat entry for the OptimizationOptimJL package from 0.1, 0.2 to 0.1, 0.2, 0.3 for package OptimizationPolyalgorithms.
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.
This pull request changes the compat entry for the
OptimizationOptimJLpackage from0.1, 0.2to0.1, 0.2, 0.3for package OptimizationPolyalgorithms. 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.