YoVDO

Numerical Integration of ODEs with Forward Euler and Backward Euler in Python and Matlab

Offered By: Steve Brunton via YouTube

Tags

Numerical Integration Courses Python Courses MATLAB Courses Stability Analysis Courses Computational Physics Courses

Course Description

Overview

Explore numerical integration techniques for ordinary differential equations (ODEs) using Forward Euler and Backward Euler methods in both Python and Matlab. Investigate stability and error as a function of time step by implementing these integration schemes on a simple spring-mass-damper system. Compare results against the analytic solution to assess accuracy. Access accompanying code examples in Python and Matlab, and follow along with the video's chapters covering problem setup, Matlab implementation, and Python implementation. Gain practical insights into numerical methods for solving ODEs through this hands-on tutorial.

Syllabus

Numerical Integration of ODEs with Forward Euler and Backward Euler in Python and Matlab


Taught by

Steve Brunton

Related Courses

The Finite Element Method for Problems in Physics
University of Michigan via Coursera
Computational Physics
Indian Institute of Science Education and Research, Pune via Swayam
Manipulate Coulomb's Law Concepts using Wolfram notebook
Coursera Project Network via Coursera
Lagrangian Coherent Structures in Unsteady Fluids with Finite Time Lyapunov Exponents
Steve Brunton via YouTube
Changing Physics Education with Julia
The Julia Programming Language via YouTube