A Julia Basket of Hand-Picked Krylov Methods

Base package for optimization and equation solver software in JuliaNLSolvers

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

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations

A collection of Newton-type optimization algorithms implemented in Julia.

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

A Julia toolbox for modeling state transfer on quantum networks.

Optimization Problems for Julia

Probabilistic and deterministic inverse algorithms for geophysical problems and beyond.

An energy system optimization model that is flexible, computationally efficient, and academically robust.

Abstract operators for large scale optimization in Julia

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

🏔️Optimization on Riemannian Manifolds in Julia

A data structure for mathematical optimization problems

Optimization solver backend for analog optical computer

A Julia/JuMP Package for Unbalanced Power Network Optimization

Julia package for Sorted L-One Penalized Estimation (SLOPE)

ClimaAtmos.jl is an atmosphere model that is designed to leverage data assimilation and machine learning tools for modeling and calibrating subgrid-scale processes.

Differentiating optimization programs w.r.t. program parameters