Optical Simulation software

A Julia/JuMP Package for Power Network Optimization

Stochastic Dual Dynamic Programming in Julia

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

A Julia package for calculus with convex sets

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

Polyhedral Computation Interface

Branch-and-Price-and-Cut in Julia

Evaluating Robustness of Neural Networks with Mixed Integer Programming

A solver for mixed-integer convex optimization

Sum of Squares Programming for Julia

MADS: Model Analysis & Decision Support

ConstraintSolver in Julia: Blog posts ->

Methods to compute sets of states reachable by dynamical systems

A development environment for robust and global optimization

A Julia/JuMP Package for Unbalanced Power Network Optimization

A package for discrete-time optimal stochastic control

A Platform for Scalable Modeling and Optimization

Provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Automatic dualization feature for MathOptInterface.jl

A Julia/JuMP Package for Gas Network Optimization

Julia for Mathematical Programming - extension for Robust Optimization

A block-structured optimization framework for JuMP

An intuitive modeling interface for infinite-dimensional optimization problems.

Toolbox for non-convex constrained optimization.

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

JuMP-based toolbox for solving bilevel optimization problems

Solve optimization problems containing piecewise linear functions

Julia package for formulating and analyzing stochastic recourse models.

Julia implementation of MARGO, an idealized climate-economic modelling framework for Optimizing trade-offs between emissions Mitigation, Adaptation, carbon dioxide Removal, and solar Geoengineering.

A Julia/JuMP Package for Water Distribution Network Optimization

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

A solver for nonlinear programming

Julia framework for energy system models with a focus on multi-period capacity expansion

Bilevel optimization in JuMP

Evolve Flux networks from scratch!

Flow algorithms on LightGraphs

A JuMP extension for Polynomial Optimization