Linear Operators for Julia

Dense and Sparse Least Squares Optimization

A Julia interface to the Artelys Knitro solver

Julia for Mathematical Programming - extension for Robust Optimization

A prototype JuMP extension for geometric programming

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A Julia interface to the Ipopt nonlinear solver

Rigorous global optimisation in pure Julia

Implementation of Differential Evolution with optional custom predictors

An intuitive modeling interface for infinite-dimensional optimization problems.

Combinatorial optimization layers for machine learning pipelines

Hyperparameter optimization in Julia.

Interior point solver for general convex conic optimization problems

Julia interface to the HSL Mathematical Software Library

A Julia interface to the HiGHS solver

A Julia interface to the Gurobi Optimizer

DEPRECATED: Interface between the GLPK.jl wrapper and MathProgBase.jl

A Julia interface to the GNU Linear Programming Kit

A lightweight framework for writing genetic algorithms in Julia

A MathOptInterface Optimizer to solve JuMP models using GAMS

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 implementation for various Frank-Wolfe and Conditional Gradient variants

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A Julia interface to the ECOS conic optimization solver

A Package for Domain Reduction in Global Optimization

A development environment for robust and global optimization

Nonlinear SMT solving using dReal

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

Differentiable trajectory optimization in Julia.

Data-driven Uncertainty Sets for the JuMPeR framework

Pools of cutting planes for JuMP models

Julia's CUTEst Interface

A Julia interface to the Coin-OR solver CSDP

A Julia interface to the CPLEX solver

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

A Julia package for disciplined convex programming

Calculate rigorously the feasible region for a set of real-valued inequalities with Julia

MathProgBase wrapper to solve conic optimization problems with derivative-based nonlinear solvers

Branch-and-Price-and-Cut in Julia

Julia interface to COIN-OR Optimization Services https://projects.coin-or.org/OS