Numerical Analysis and Scientific Computing
Development and comparison of important algorithms for scientific computing in terms of efficiency, accuracy and reliability. Topics include systems of linear equations-direct and iterative methods, least squares problems, eigenvalues and eigenvectors, numerical stability and error analysis. Substantial assignments using contemporary software packages and professional subprogram libraries. Prerequisite: MATH 129A; one of CS 22A, Math 50, CS 46A or CS 49 (with a grade of "C-" or better in each) or instructor consent.
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