Fall 2016 MATH 221 001 LEC

Advanced Matrix Computations
001 LECMoWeFr 2:00PM - 2:59PMCory 289Per-Olof Persson18938
UnitsEnrollment Status
Additional Information: 

Prerequisites: Math 128A or equivalent knowledge of undergraduate numerical analysis, MATLAB or equivalent programming experience.

Description: Direct solution of linear systems, including large sparse systems: error bounds, iteration methods, least square approximation, eigenvalues and eigenvectors of matrices, nonlinear equations, and minimization of functions.

Office: 1089 Evans

Office Hours: Mon 12:30pm - 2pm and Fri 11am - 12:30pm in 1089 Evans.

Required Text: L. N. Trefethen and D. Bau III, Numerical Linear Algebra, SIAM 1998, and J. Demmel, Applied Numerical Linear Algebra, SIAM 1997.

Recommended Reading: Y. Saad, Iterative Methods for Sparse Linear Systems, SIAM 2003, T. Davis, Direct Methods for Sparse Linear Systems, SIAM 2006.

Grading: Letter grade.

Homework: 7 extensive problem sets.

Course Webpage: https://bcourses.berkeley.edu/courses/1453840