MATH 143M

Numerical Analysis and Scientific Computing

Description
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.

Grading
Normal Grade Rules

Units
3