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SciML
Optimization.jl SciML
83
732
mit
15
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 inte...
julia sciml optimization hacktoberfest local-optimization convex-optimization global-optimization nonlinear-optimization automatic-differentiation mixed-integer-programming algorithmic-differentiation scientific-machine-learning derivative-free-optimization
Created 2020-05-06
2,101 commits to master branch, last one 13 days ago
cvanaret
Uno cvanaret
22
299
mit
11
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
cpp optimization newton-method gradient-descent local-optimization optimization-solver optimization-methods interior-point-method nonlinear-programming quadratic-programming nonconvex-optimization nonlinear-optimization numerical-optimization continuous-optimization optimization-algorithms constrained-optimization mathematical-programming mathematical-optimization nonlinear-programming-algorithms sequential-quadratic-programming
Created 2021-09-29
1,757 commits to main branch, last one 22 hours ago