Department of Computer Sciences @ Purdue University
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CS 615 Numerical Methods for Partial Differential Equations I

Finite element method for elliptic partial differential equations; weak formulation; finite-dimensional approximations; error bounds; algorithmic issues; solving sparse linear systems; finite element method for parabolic partial differential equations; backward difference and Crank-Nicolson time-stepping; introduction to finite difference methods for elliptic, parabolic, and hyperbolic equations; stability, consistency, and convergence; discrete maximum principles.

Usually Offered: Spring
Credit: 3 hours (class)
Prerequisite: CS 514 and MA 523
University Catalog: CS 615
Schedule: Spring 2005
Instructor: Bradley J. Lucier