APM5334

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 4334. Student may not receive credit for both courses. Prerequisite(s): Required background includes courses in multivariable calculus and linear algebra and knowledge of a scientific programming language.

APM4334, APM534

College of Arts and Sciences