Numerical Solutions to PDEs Using FFT
Offered By: Steve Brunton via YouTube
Course Description
Overview
Explore numerical solutions to partial differential equations using Fast Fourier Transform (FFT) in this 50-minute lecture from the Engineering Mathematics course at the University of Washington. Delve into the application of FFT for solving PDEs, with a focus on heat equations and spectral derivatives. Access accompanying lecture notes and MATLAB code examples to reinforce understanding of concepts such as heat convolution, FFT implementation, and spectral derivative calculations. Gain practical insights into efficient PDE solving techniques utilized in engineering and applied mathematics.
Syllabus
ME565 Lecture 20: Numerical Solutions to PDEs Using FFT
Taught by
Steve Brunton
Related Courses
Scientific ComputingUniversity of Washington via Coursera Dynamical Modeling Methods for Systems Biology
Icahn School of Medicine at Mount Sinai via Coursera Elements of Structures
Massachusetts Institute of Technology via edX Analyse numérique pour ingénieurs
École Polytechnique Fédérale de Lausanne via Coursera Dynamics
Massachusetts Institute of Technology via edX