Computational Linear Algebra

4 Units.

Matrices and linear transformations, systems of linear equations, determinants, linear vector spaces, eigenvalues and eigenvectors, orthogonal matrices, diagonalization, and least squares. Topics taught primarily from an algorithmic perspective, including computational solutions, applications, and numerical error analysis.