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
1,887 commits to master branch, last one 21 hours ago
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive...
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
1,360 commits to main branch, last one 14 hours ago