MATH 356 Methods of Applied Mathematics

4 semester hours

Linear partial differential equations: Laplace, Poisson, heat and wave equations. Fourier analysis and its applications to signal processing and linear partial differential equations. Discrete Fourier Transform and the Fast Fourier Transform. Numerical approaches to partial differential equations: finite differences and spectral methods. Modeling of distributed parameter systems (i.e., systems whose state variable is infinite dimensional).

Prerequisites: MATH 246.