CS 143C - Numerical Analysis and Scientific Computing

3 unit(s)
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(s): MATH 32 or MATH 32X, one of CS 22A, MATH 50, CS 46A, CS 49C or CS 49J, one of MATH 33A, MATH 33LA, or MATH 34 (with a grade of “C-” or better in each); or instructor consent.
Grading: Letter Graded

Cross-listed with MATH 143C / METR 143C. Mathematics and Statistics is responsible for scheduling.

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