Home page for Prof. Minion's Math 892 class
- Time: MWF 1:00-1:50
- Place: Phillips 381
- Office hours: MWF 2-3
Course Objectives: This course will present a detailed analysis
of methods for numerically approximating the solution of partial
differential equations. Both the mathematical theory and practical
implementation of competing approaches for a set of standard PDE's
will be covered. The students will be introduced to
mathematical and computational issues that must be considered when
designing or choosing a numerical method for the nonlinear
PDE's typically found in physical applications.
By the end of the course, students should be able to
* understand the mathematical foundations of numerical methods for PDEs
* construct numerical methods for simple PDEs
* understand and analyze numerical error
* write effective presentations of numerical results
Class syllabus
Papers to download
!! Matlab Scripts
* linpde.m Linear PDE explorer
Assignments
* Homework #1
* Homework #2
Matlab Scripts
!! Class notes
Finite Element Module (Mar. 16 - Apr. 1)
Finite Elements
!! Useful Links