Optimization functions for Julia

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.

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.

A Julia package for disciplined convex programming

Black-box optimization for Julia

A data structure for mathematical optimization problems

Visualization of Julia profiling data

A fast trajectory optimization library written in Julia

Surrogate modeling and optimization for scientific machine learning (SciML)

🏔️Manopt. jl – Optimization on Manifolds in Julia

Simple curve fitting in Julia

A JuMP extension for Stochastic Dual Dynamic Programming

COSMO: Accelerated ADMM-based solver for convex conic optimisation problems (LP, QP, SOCP, SDP, ExpCP, PowCP). Automatic chordal decomposition of sparse semidefinite programs.

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

A Julia interface to the NLopt nonlinear-optimization library

High-performance metaheuristics for optimization coded purely in Julia.

An intuitive modeling interface for infinite-dimensional optimization problems.

A Julia/JuMP-based Global Optimization Solver for Non-convex Programs

A Julia interface to the Gurobi Optimizer

Hyperparameter optimization in Julia.

Branch-and-Price-and-Cut in Julia

＠memoize macro for Julia

Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.

Data Structures for Optimization Models

A lightweight framework for writing genetic algorithms in Julia

A solver for nonlinear programming

Interior-point solver in pure Julia

A Julia interface to the Ipopt nonlinear solver

A Platform for Scalable Modeling and Optimization

Linear Operators for Julia

A development environment for robust and global optimization

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Interior point solver for general convex conic optimization problems

A Julia interface to the CPLEX solver

A solver for mixed-integer convex optimization

Proximal operators for nonsmooth optimization in Julia

Proximal algorithms for nonsmooth optimization in Julia

Differentiating convex optimization programs w.r.t. program parameters

Sum of Squares Programming for Julia

Line search methods for optimization and root-finding