Numerical Integration of ODEs with Forward Euler and Backward Euler in Python and Matlab
Offered By: Steve Brunton via YouTube
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
Analyse numérique pour ingénieursÉcole Polytechnique Fédérale de Lausanne via Coursera Matlab Programming for Numerical Computation
Indian Institute of Technology Madras via Swayam Métodos numéricos para matemáticas con Octave
Universitat Politècnica de València via edX Computational Electromagnetics
Indian Institute of Technology Madras via Swayam Computational Physics
Indian Institute of Science Education and Research, Pune via Swayam