Units: 1.5, Hours: 3-0
A comprehensive introduction to the techniques and mathematical foundations of modern methods in scientific computing for science, engineering and numerical analysis. Topics include linear and non-linear systems, eigenvalue problems, approximation of functions, initial value and boundary value problems, finite volumes, finite elements, multigrid methods, convex optimization, Monte Carlo simulations, and data assimilation.
Prerequisites: 348 or CSC 349A or permission of the department.
Undergraduate course in Mathematics offered by the Department of Mathematics and Statistics in the Faculty of Science.