Scope:
Scientific Computing II will develop the theoretical basis
and computational techniques for the approximation of functions,
for numerical differentiation and integration, and for approximating
the solutions to ordinary differential equations (both initial value problems
and boundary value problems).
The course may also include some elementary numerical methods
for partial differential equations, if time allows.
Role in our curriculum:
The material in Scientific Computing II is indispensable for research
in many areas of applied mathematics, especially those in which
differential equations are used to represent physical, chemical,
biological, or social processes.
Examples of such areas include fluid dynamics,
industrial processes, and mathematical physiology.
This course is a prerequisite for Mathematics 226 and 227,
Numerical Partial Differential Equations, parts I & II.
Prerequisite: Mathematics 224: Scientific Computing I
Course times: Tuesdays and Thursdays, 9:10 PM - 10:25 PM.
Textbooks:
Instructor:
Harold Layton
Spring 2002 Office Hours: to be announced.
Office: Room 219B Physics Building, Science Drive, West Campus
Office telephone number: 919 660 2809
Electronic mail: layton@math.duke.edu
Return to: Course List * Math Graduate Program * Department of Mathematics * Duke University
Last modified: 11 October 2001