Linear Algebra

Catalog description

A course including the analysis of matrices, the four fundamental subspaces (row space, column space, null space, null space of the transpose), factorization, complete solution to a system, least squares, Gram Schmidt process, orthogonal matrices, determinants, eigenvalues, eigenvectors, symmetric matrices, and similar matrices. Offered fall semester of even years.