instructor and
contact
info: Ed Bueler Chapman 301C 474-7693 elbueler@alaska.edu www.dms.uaf.edu/~bueler textbook: Morton and Mayers, Numerical Solution of Partial Differential Equations, 2nd ed., Cambridge, 2005. |
time: MWF 1:00--2:00pm
room: Gruening 308 crn: 38766 |
Numerical methods and analysis for approximating partial differential equations (PDEs) and related problems on computers. How to do it in practice and how to determine how good a method is. How to choose among algorithms when facing in hard problems
Students are encouraged to come with a particular problems in mind, and to do the class project on it. Lots of computed examples. Students will use Matlab/Octave to build algorithms and run them on concrete examples. Emphasis on thinking with matrices and vectors. We don't just list some finite difference schemes but try to think of them as simple matrix equations in which we write codes to build big matrices for computer solution. Exposure to nonlinear examples because real problems are nonlinear.
Topics include: