The Julia Programming Language Courses

QUBO.jl - Bridging Quantum Optimization and Mathematical Programming

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Discover QUBO.jl, a Julia package bridging quantum optimization and JuMP, enabling seamless access to quantum devices and automatic model reformulation for QUBO problems.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

What's New in HiGHS and Thanks to JuMP for Its Support

Discover HiGHS optimization software advancements including new interior point solver, multi-threading for mixed-integer programming, and GPU-based methods for linear programming.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

CuClarabel - GPU Acceleration for a Conic Optimization Solver

Discover GPU acceleration techniques for conic optimization using Clarabel solver with mixed parallel computing strategies and mixed-precision linear system solvers.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Revisiting Sparse Matrix Coloring and Bicoloring

Explore advanced sparse matrix coloring techniques for efficient Jacobian computation in nonlinear optimization, featuring novel bicoloring strategies and postprocessing algorithms.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

GPU Implementation of Algorithm NCL for Constrained Optimization

Explore GPU-accelerated constrained optimization using Algorithm NCL with Julia, MadNLP.jl, and CUDSS.jl for efficient KKT system reduction and Cholesky factorization.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

The State of InfiniteOpt.jl - Infinite-Dimensional Optimization Problems in Julia

Discover InfiniteOpt.jl's latest advancements for modeling infinite-dimensional optimization problems, including GPU workflows for control and surrogate models.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Open Energy Models - Benchmarking, Profiling and Debugging Tools for JuMP

Discover benchmarking, profiling, and debugging techniques for open-source energy models using JuMP, including specialized tools and performance improvements.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Lessons from Using JuMP in HARD Software

Discover practical insights from implementing JuMP optimization library in production software development and real-world applications.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Optimizing Over Trained Neural Networks with MathOptAI.jl

Discover MathOptAI.jl for embedding neural network surrogates into JuMP optimization models, with practical power flow examples and GPU acceleration techniques.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

MathOptInterface: A Comprehensive Overview

Discover Julia's MathOptInterface.jl package for mathematical optimization modeling and solver integration in this comprehensive technical overview.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

The State of JuMP - Overview of Recent Developments

Discover the latest developments and improvements in JuMP, Julia's mathematical optimization package, with insights from the past year's progress and updates.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

How to Hack into Documenter.jl - Extending Documentation Pipeline with Custom Hooks

Discover how to extend Documenter.jl by hooking into its pipeline stages, manipulating document structures, and creating custom blocks for different rendering backends.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Task Scheduling and Fairness in Julia

Explore task scheduling fairness in Julia, examining a one-line patch's dramatic effects, work-stealing scheduler implications, and potential alternatives for better performance.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Using Julia for Advent of Code

Discover how Julia's interactive REPL, JIT compilation, and metaprogramming capabilities make it ideal for solving Advent of Code puzzles efficiently and elegantly.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Automatic Generation of JuMP.jl Constraints from ModelingToolkit.jl Models

Discover how to seamlessly integrate ModelingToolkit.jl models into JuMP optimization frameworks, enabling global optimization of complex engineering systems with deterministic solvers.

• YouTube
• 15 minutes
• Self-Paced
• Free Video