Instructor. Prof. Yu Chen, Warren Weaver Hall (Ciww), Room 1126. Tel: 998-3285, email@example.com
Class mailing list: firstname.lastname@example.org
To subscribe: send mail to email@example.com, and in the body of the message type subscribe g22_2421_001_sp00 (no subject, nothing else in the body)
Basic Course Information
Homework and project schedule
Reference for method of deferred corrections
A function for timing in (most) Unix systems
Lecture: 5:10 p.m.-7:00 p.m., Thur., room 102, Warren Weaver Hall (Ciww)
First meeting: Thursday, January 20.
Last day of class: Thursday, April 27.
Spring break: March 13--17; no class on March 16.
Number of lectures: 14
Office hours: 3:00 p.m. - 5:00 p.m. Thursday, and by appointment.
Prerequisite: Numerical Method I, Elements of ODE and PDE.
Important Note: This is computer-programming intensive, but not a programming, course. We assume that you have some experience writing and debugging codes in MATLAB and/or Fortran/C/C++ for the basic tasks discussed in Numerical Methods I. These include matrix factorizations, linear systems solvers, interpolation, approximation, least squares problems, and numerical quadrature. Our goal is to understand the techniques of computational mathematics.
Syllabus: This course will cover fundamental methods that are essential for the numerical solution of differential equations. It is intended for students familiar with ODE and PDE and interested in actually engaging in scientific computing, rather than addressing theoretical questions in numerical analysis. Computer programming assignments form an essential part of the course homework. We will consider the following topics:
Required Text. A first course in the numerical analysis of
differential equations, by A. Iserles; available at the
firstname.lastname@example.org (Yu Chen)
Last modified: March 23, 2000