A Julia/JuMP Package for Power Network Optimization

A differentiable physics engine for robotics

A JuMP extension for Stochastic Dual Dynamic Programming

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

GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

An intuitive modeling interface for infinite-dimensional optimization problems.

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

Scalable symbolic-numeric set computations in Julia

Branch-and-Price-and-Cut in Julia

Computing reachable states of dynamical systems in Julia

A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.

Polyhedral Computation Interface

A Platform for Scalable Modeling and Optimization

Differentiable collision detection for polytopes, capsules, cylinders, cones, spheres, and polygons.

A development environment for robust and global optimization

A Julia/JuMP Package for Unbalanced Power Network Optimization

ConstraintSolver in Julia: Blog posts ->

A solver for mixed-integer convex optimization

Algorithms and data structures for game theory in Julia

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

Sum of Squares Programming for Julia

Evaluating Robustness of Neural Networks with Mixed Integer Programming

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

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Package for dynamical modeling of power grids

Optimization package for the Security-Constrained Unit Commitment Problem

Bilevel optimization in JuMP

MADS: Model Analysis & Decision Support

Automatic dualization feature for MathOptInterface.jl

Semidefinite programming optimization solver

Optimization Problems for Julia

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.

Julia package for formulating and analyzing stochastic recourse models.

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

A Julia/JuMP Package for Water Distribution Network Optimization

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

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 Gas Network Optimization

An open source model predictive control package for Julia.