Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

A Julia interface to the NLopt nonlinear-optimization library

A solver for nonlinear programming with GPU support

Data Structures for Optimization Models

A Julia interface to the Ipopt nonlinear solver

Proximal operators for nonsmooth optimization in Julia

Proximal algorithms for nonsmooth optimization in Julia

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

A Julia interface to the Artelys Knitro solver

A Julia interface to AMPL-enabled solvers

A Julia interface to the FICO Xpress Optimization suite

Tools for developing nonlinear optimization solvers.

A Julia interface to the BARON mixed-integer nonlinear programming solver

A thin IPOPT wrapper for NLPModels

An automatic differentiation and algebraic modeling package

Julia package with tools at the cross-section of Power System Operations, Applied Mathematics, High-Performance Computations, and Machine-Learning.

HALeqO solver for nonlinear equality-constrained optimization

Penalty-Interior-Point ALgorithm for nonlinear optimization

supplemental code for my thesis: we demonstrate our nonlinear method of time-frequency analysis with a Julia code