Numerical Linear Algebra
Units: 1.5, Hours: 3-0
Gaussian elimination and its variants; sparse positive definite linear systems; sensitivity of linear systems: norms, condition, stability, scaling, iterative refinement; orthogonal matrices and least squares; eigenvalues and eigenvectors; the QR algorithm; the singular value decomposition.
Prerequisites: 349A or a minimum grade of B in 340.
Undergraduate course in Computer Science offered by the Department of Computer Science in the Faculty of Engineering.