Computer Science (CSC) Courses>Numerical Linear Algebra

CSC449 - Numerical Linear Algebra

Description

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.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Prerequisites

  • Earn a minimum grade of B in each of the following:

Course offered by

Department of Computer Science

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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