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Julia tutorial on creating a nonlinear optimization solver with JuliaSmoothOptimizers - part 2
04 CUDA Fundamental Optimization Part 2
Solving optimization problems with JuliaOpt | Workshop | JuliaCon 2015
Using Optimization.jl to Seek the Optimal Optimiser in SciML | Vaibhav Dixit | JuliaCon 2022
Benchmarking Nonlinear Optimization with AC Optimal Power Flow | Carleton Coffrin | JuliaCon 2022
Julia Programming - Benchmarking and Optimization
Numerical Optimization in Julia | Miles Lubin, Iain Dunning | Julia Tutorial MIT 2013
Guaranteed Constrained and Unconstrained Global Optimisation in Julia | D.P. Sanders | JuliaCon 2019
JuMP-dev 2018 | EAGO: A Deterministic Nonconvex Optimization Package for Julia | Matthew Wilhelm
Reactant: Optimize Julia functions with MLIR & XLA | Moses | JuliaCon Global 2025
Polynomial and Moment Optimization in Julia and JuMP | JuliaCon 2019
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Last Updated: September 30, 2026
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Summary
In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. As a data scientist, it is super important to sharpen your skills and learn to use the tools effectively. This is the second part of the ... In this tutorial, we continue with the creation of an ... last month's session and in this month's session we're going to address basically the first two topics in terms of Madeliene Udell, Miles Lubin, Iain Dunning, Joey Huchette. Visit julialang.org/ to download This work discusses some of the requirements for deploying non-convex nonlinear Speaker: David P. Sanders Set computations with interval arithmetic allow us to write surprisingly efficient software for guaranteed ...