MA 61500, Spring 2022
Numerical Methods For Partial Differential Equations I
Credit Hours: 3.00. (CS 615) 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-Nicholson time-stepping; introduction to finite difference methods for elliptic, parabolic, and hyperbolic equations; stability, consistency, and convergence; discrete maximum principles. Prerequisite: MA 51400, 52300. Typically offered Spring.
|001||REC 114||1:30PM||TR||Xiangxiong Zhang||MATH 406|