Numerical Analysis and Scientific Computing
Development and comparison of important algorithms for scientific computing in terms of efficiency, accuracy and reliability. Topics include nonlinear equations, interpolation, approximation theory, differentiation, integration, differential equations, numerical stability and error analysis. Substantial assignments using contemporary software packages and professional subprogram libraries. Prerequisite: MATH 032; one of CS 050, CS 046A or CS 049 (with a grade of "C-" or better in each) or instructor consent.
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