YoVDO

Hierarchical Component-Based Modeling with ModelingToolkit.jl

Offered By: The Julia Programming Language via YouTube

Tags

Julia Courses Differential Equations Courses Numerical Simulations Courses SciML Courses ModelingToolkit.jl Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore hierarchical component-based modeling using ModelingToolkit.jl in this comprehensive JuliaCon 2024 tutorial. Dive into the world of acausal modeling tools and learn how to build large-scale, high-fidelity models for simulating real-world phenomena such as hydraulic, HVAC, and multibody systems. Discover how ModelingToolkit, as the symbolic modeling layer of Julia's SciML, allows for reusable component-based modeling and automatic equation simplification. Learn to create steady-state models, transient models, and optimization models while leveraging the ModelingToolkitStandardLibrary for pre-built components. Explore the ecosystem surrounding ModelingToolkit, including graphical user interfaces, specialized solvers, and model analysis tools. Cover advanced topics such as moment closure expansions, file readers for importing models, MathOptInterface integrations for optimization, structural identifiability analysis, and linearization techniques.

Syllabus

Hierarchical Component-Based Modeling with ModelingToolkit.jl | Rackauckas, Tiller | JuliaCon 2024


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