MTH 465 - Numerical Linear Algebra

Credits: 3

Direct and iterative methods for the solution of systems of linear equations, matrix decompositions, computation of eigenvalues and eigenvectors, and relaxation techniques. The theoretical basis for error analysis including vector and matrix norms. Applications such as least squares and finite difference methods.

Pre-Requisites: MTH 214 and CS 125 or equivalent programming experience
Terms Offered: Spring semester in even-numbered years