MME 601 Numerical Methods for Science, Engineering, and Statistics (3)

Overview of numerical methods with consideration of implementing, testing, comparing, using, deploying in high performance environments. Topics include error and efficiency analyses, fast Fourier transforms, solution and conditioning of systems of non-linear equations, optimization, QR and SVD factorization, eigenvalues and eigenvectors, least squares approximation, interpolation, numerical integration, solution of ordinary and partial differential equations, and Monte Carlo techniques.

Prerequisites: Differential Equations (MTH 245 or similar); matrix algebra and linear systems (MTH 231 or MTH 222); some computer programming experience (CSE 153 or CSE 174 or similar discipline-specific programming course).

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