Combinatorial optimization layers for machine learning pipelines

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

Optimization package for the Security-Constrained Unit Commitment Problem

A Julia interface to the HiGHS solver

Bilevel optimization in JuMP

What if your code allocated less? Remember what memory we needed last time and use it again every time after

MADS: Model Analysis & Decision Support

A Julia interface to the GNU Linear Programming Kit

Optimal transport algorithms for Julia

Julia interface to SCIP solver

Semidefinite programming optimization solver

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Optimization Problems for Julia

A Julia interface to the Coin-OR Branch and Cut solver (CBC)

A Julia interface for the SCS conic programming solver

DEPRECATED: Solver-independent functions (i.e. linprog and mixintprog) and low-level interface for Mathematical Programming

Simulated Method of Moments for Julia

A Julia interface to the Artelys Knitro solver

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Julia package for formulating and analyzing stochastic recourse models.

Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia

Optimisers.jl defines many standard optimisers and utilities for learning loops.

Foundational tooling for handling collections of parameters in models

Structured optimization in Julia

Julia interface for OSQP: The Operator Splitting QP Solver

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Concatenated Array views in Julia.

A Julia interface to the FICO Xpress Optimization suite

A Julia interface to AMPL-enabled solvers

Multistart optimization methods in Julia.

Driving simulation architecture for Julia

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

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

A Julia package for solving multi-objective optimization problems

A package for discrete-time optimal stochastic control

MultiJuMP enables the user to easily run multiobjective optimisation problems and generate Pareto fronts.

Conic Augmented Lagrangian Interior-Point SOlver

A gradient-based outer approximation solver for convex mixed-integer nonlinear programming (MINLP)

OptimKit: A blissfully ignorant Julia package for gradient optimization

Robust and optimal design and analysis of linear control systems