APM4334

Applied Numerical Methods: Matrix Methods

Systems of linear equations, Gaussian elimination, LU factorization, successive over-relaxation, 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. Required background includes courses in multi-variable calculus and linear algebra and knowledge of a scientific programming language. Cross-listed with APM 5334. Student may not receive credit for both courses.Prerequisite(s): MTH 2554 with a grade of (C) or higher, MTH 2775 with a grade of (C) or higher and knowledge of a scientific programming language, or permission of the instructor

APM434, APM5334, APM534, MTS636

College of Arts and Sciences