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 022A, Math 50, CS 046A, CS 049C or CS 049J (with a grade of "C-" or better in each) or instructor consent.
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