Instructor:
Andrei Draganescu
Office: MP420
Phone: 410-455-3237
Email: draga@math.umbc.edu
Website: http://www.math.umbc.edu/~draga/courses/2010/Spr/math630
Office hours:
MW 10 - 11, or by appointment.
Prerequisites:
Math 221, Math 301, or instructor approval; Math 430 is recommended.
Text:
Matrix Computations,
3rd edition, by Gene Golub and Charles Van Loan, The Johns Hopkins University Press, 1996.
Course objectives:
This course serves as an introduction to numerical linear algebra. Topics include
direct and iterative methods for solving linear systems (LU, Cholesky, and QR
factorizations, conjugate gradient), and numerical solution of eigenvalue and
least squares problems. Practical illustration of the methods will be done using Matlab.
We plan to cover most of the material in the Sections 2.1-2.5, 2.7, 3.1-3.4, 4.1-4.3, 5.1-5.7, 7.1, 8.1-8.7, 10.1-10.3 (the list is tentative).
Practical illustration of the methods will be done using Matlab.
Schedule:
A tentative schedule will be posted here,
and will be continously updated.
Assignments:
Homework will be assigned approximately once a week and will generally be
due a week later at the beginning of class. Occasionally extra credit problems will be posted, the scores of which
will count towards the overall homework score. It is encouraged that you discuss homework problems with colleagues,
but the submitted write-up should and Matlab code be the result of individual work only.
Tests:
There will one midterm exam and a final exam (see detailed schedule for
exam dates).
Grading policy:
Homework - 30%,
Midterm - 30 %,
Final - 40%
| Score above | 90% | 80% | 65% | 50 % | otherwise |
| Letter grade | A | B | C | D | F |