APM 4334 - Applied Numerical Methods: Matrix Methods

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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