2 results found Sort:
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...
Created
2020-05-06
2,106 commits to master branch, last one 27 days ago
A next-gen Lagrange-Newton solver for nonconvex constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and m...
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
1,818 commits to main branch, last one 8 days ago