| Course Materials |
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There is no specific book required for this course.
My lecture notes will be based on material from the following:
Matrix Computations, 3rd ed.
G.H. Golub and C.F. Van Loan
Johns Hopkins University Press, 1996.
If you are a member of SIAM you get a very good discount
on SIAM books. Students can get a free SIAM membership by
joining our SIAM Student Chapter.
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Suggested:
If you have no experience programming in MATLAB, then
you should consider getting some reference material
to help you. (see below).
If you want an undergraduate level review of numerical
analysis, with some MATLAB basics, this
reference might help.
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| Grades |
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There will be a midterm exam, final project, and a
few homework assignments.
The final grade will be determined as:
50% Homework, 25% Midterm Exam, 25% Final Project
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| Important Dates |
- October 31: Midterm exam. ( new date )
- November 14: One page proposal for final project due.
- December 8--10 (tentative): Final project presentations.
- December 17: Final papers due.
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| Homework |
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There will be a combination of theoretical and computational
homework assignments. All computational assignments must be
done using Matlab (see below).
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| Honor Code |
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Matlab Information
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Matlab is a matrix-vector based system for scientific computation
and graphics. Matlab is a product of
The MathWorks Inc.
A relatively inexpensive
Student Edition
for PC and MacIntosh systems
can be purchased for use in this course.
This is a good product, but has somewhat
limited capabilities. A full version of Matlab is available on the Math/CS
department's
system.
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There are several good books for learning Matlab.
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