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.

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

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

High-performance metaheuristics for optimization coded purely in Julia.

Solve optimization problems containing piecewise linear functions

A Julia interface to the NLopt nonlinear-optimization library

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Optimization Problems for Julia

Surrogate modeling and optimization for scientific machine learning (SciML)

Optimization functions for Julia

A solver for nonlinear programming

A Platform for Scalable Modeling and Optimization

A data structure for mathematical optimization problems

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

MADS: Model Analysis & Decision Support

A JuMP extension for Stochastic Dual Dynamic Programming

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Bilevel optimization in JuMP

Dense and Sparse Least Squares Optimization

A Julia interface to the ECOS conic optimization solver

Simple curve fitting in Julia

A Julia package for disciplined convex programming

🏔️Manopt. jl – Optimization on Manifolds in Julia

OptimKit: A blissfully ignorant Julia package for gradient optimization

Branch-and-Price-and-Cut in Julia

Simulated Method of Moments for Julia

Linear Operators for Julia

A hybrid AC/DC OPF package based on PowerModels.jl

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Interior point solver for general convex conic optimization problems

Optimization package for the Security-Constrained Unit Commitment Problem

Optimal transport algorithms for Julia

Implementation of a Augmented Lagrangian method

An intuitive modeling interface for infinite-dimensional optimization problems.

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

Julia's CUTEst Interface

Black-box optimization for Julia

A fast trajectory optimization library written in Julia

Global optimization without derivatives