Spring 2008 Math 428/Cisc 411
Algorithmic and Numerical Solution of Differential Equations
R.J. Braun
- Lectures
- Class will be held in Ewing 207, TR 3:30-4:45.
- Tentative Office Hours
- TR 9-10, W 2:00-3:00, Ewing 509, or by appointment.
- Textbook
- Foundations of Numerical Analysis: An Introduction Using Matlab,
T.A. Driscoll and R.J. Braun. (a textbook fairly far along toward publication.)
Relevant chapters of course materials will be distributed
before that subject begins; a small fee will be charged for copying costs (cheaper
than printing on campus).
- Syllabus
-
Sections 428-010 and 411-010
-
Sections 428-080 and 411-080
- Homework Assignments
- Project Assignments
-
Project 1, Section 428-010
-
Honors Project 1, Section 428-080
-
Project 2, All sections
-
Project 3, All sections
-
Project 4, All sections
- Example and Homework Codes
- Math 428/Cisc 411
- Math 426/Cisc 410
- Programming
- Matlab will be used in class, and the assignments will be designed for it.
Other languages can be used only with my permission. The student version
of Matlab is available for purchase via our
campus bookstore's software link
and then selecting the "math and science" category.
- Previous assignments, solutions and codes are available at last
semesters Math 426 web page.
- I produced this little list of exercises for practice in beginning Matlab in
pdf format. It is not a true
Matlab tutorial; it is part tutorial, part problem list.
- Some potentially helpful sites follow for getting MatLab help:
- From the MathWorks web site (MatLab's developer), there is extensive help and
documentation here.
- UD Math's Toby Driscoll has a very good, but perhaps advanced, MatLab tutorial
available in pdf format.
- Two other introductions may be useful as well, with one in
pdf format
by David F. Griffiths at Dundee, UK, and the other in
html format
by Graeme Chandler, Uni Queensland, Australia.
- Conjugate Gradient Tutorial by Jonathan Shewchuk
Department of Mathematical Sciences
Richard Braun, last modified 2/18/08