YoVDO

Differentiating Parametric JuMP Models in Julia

Offered By: The Julia Programming Language via YouTube

Tags

Julia Courses Mathematical Modeling Courses Differentiation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to differentiate parametric JuMP models in this 12-minute talk from The Julia Programming Language. Explore the combination of DiffOpt and ParametricOptInterface packages to efficiently differentiate and re-solve optimization models with parameters in multiple parts. Discover the practical applications of this functionality and see a demonstration of effective layer combination. Cover topics including introduction, definition, use cases, sources of help, XEOptimization parameters, and POI Optimizer.

Syllabus

Intro
Definition
Use Cases
Sources of Help
XE
Optimization
Parameters
POI Optimizer


Taught by

The Julia Programming Language

Related Courses

Julia Scientific Programming
University of Cape Town via Coursera
Julia for Beginners in Data Science
Coursera Project Network via Coursera
Linear Regression and Multiple Linear Regression in Julia
Coursera Project Network via Coursera
Decision Tree and Random Forest Classification using Julia
Coursera Project Network via Coursera
Logistic Regression for Classification using Julia
Coursera Project Network via Coursera