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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 interface.
Julia826 stars100 forksMIT
algorithmic-differentiationautomatic-differentiationconvex-optimizationderivative-free-optimizationglobal-optimizationhacktoberfestjulialocal-optimizationmixed-integer-programmingnonlinear-optimizationoptimizationscientific-machine-learningsciml
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