Math 430/630 - Matrix Analysis
Fall 1999 - Schedule Numbers 3139/3168
Matthias K. Gobbert and Weijia Kuang
This page can be reached via the homepage at
http://www.math.umbc.edu/~gobbert.
Grading Information
Final grades and scores ordered by the last four digits of your student number:
Basic Information
- Instructors:
- Matthias K. Gobbert,
Math/Psyc 416, (410) 455-2404, gobbert@math.umbc.edu,
office hours: TTh 04:00-05:00 or by appointment
- Weijia Kuang,
Math/Psyc 407, (410) 455-2407, wkuang@math.umbc.edu,
office hours: TTh 04:30-05:30 or by appointment
- Lectures: TTh 05:30-06:45, SS 209
- Prerequisite: Math 152, Math 221, Math 301,
familiarity with a high-level programming language,
and a working knowledge of the UNIX operating system,
or instructor approval
- Textbook:
James W. Demmel, Applied Numerical Linear Algebra,
SIAM, Philadelphia, 1997.
A copy of the textbook is on reserve in the library.
- Grading policy:
Homework
| Midterm
| Final
|
40%
| 20%
| 40%
|
There will be a quiz during the second lecture, Tuesday, September 07, 1999,
whose score will be included in the homework score.
The date and format of the exams are to be arranged in class.
Recommended Literature
- James W. Demmel, Applied Numerical Linear Algebra,
SIAM, Philadelphia, 1997.
Excellent complete introduction to the standard problems in
numerical linear algebra.
- Gene H. Golub and Charles van Loan, Matrix Computations,
third edition, Johns Hopkins University Press, 1996.
Reference work for direct methods in numerical linear algebra.
- Shayle R. Searle, Linear Models,
Wiley, 1971.
Chapter 1 on the Generalized Inverse Matrices highly recommended
for statisticians.
- Shayle R. Searle, Matrix Algebra Useful for Statistics,
Wiley, 1982.
This book covers everything a statistician should know about matrices.
- Gilbert Strang, Linear Algebra and its Applications,
third edition, Harcourt Brace Jovanovich, 1988.
Excellent, high-undergraduate level introduction to matrix algebra
with an eye towards numerical uses.
Other Information
Copyright © 1999 by Matthias K. Gobbert. All Rights Reserved.
This page version 2.0, August 1999.