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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 i…
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem