Explore advanced techniques for solving partial differential equations (PDEs) using the Fast Fourier Transform (FFT) in MATLAB. This lecture, part of the Engineering Mathematics course at the University of Washington, delves into efficient numerical methods for PDE solutions. Learn how to leverage FFT's power to tackle complex mathematical problems in engineering applications. Access comprehensive lecture notes and additional course resources through the provided links to enhance your understanding of this crucial topic in computational mathematics.
Overview
Syllabus
ME565 Lecture 26: Solving PDEs in Matlab using FFT
Taught by
Steve Brunton