APM 534 - Applied Numerical Methods: Matrix Methods

(4 credits)

Systems of linear equations, Gaussian elimination, LU factorization, successive overrelaxation, approximation theory, curve fitting, eigenvalue problems, iterative techniques and non-linear systems of equations, some aspects of boundary value problems and introduction to numerical solutions of partial differential equations. Credit will not be granted for both APM 534 and CSE 518.

Prerequisite(s): Required background includes courses in multivariable calculus and linear algebra and knowledge of a scientific programming language.

Course updates made after the Graduate Catalog publication date will be posted in the Addendum to the Graduate Catalog.