CS 143M - Numerical Analysis and Scientific Computing

3 units
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(s): MATH 39, one of CS 22A, MATH 50, CS 46A or CS 49C (each with a grade of “C-” or better). Or instructor consent.
Grading: Graded

Cross-listed with MATH 143M. Mathematics and Statistics is responsible for scheduling.

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