MATH 484
Spring 2005 Part of Term 1
Jan 18-May 4
Credit: 3 OR 4 hours.
(MATH 384) Iterative and analytical solutions of constrained and unconstrained problems of optimization; gradient and conjugate gradient solution methods; Newton's method, Lagrange multipliers, duality and the Kuhn-Tucker theorem; and quadratic, convex, and geometric programming.
3 undergraduate hours. 3 or 4 graduate hours. 4 hours of credit requires approval of the instructor and completion of additional work of substance. Prerequisite: MATH 242 or MATH 243; MATH 347 or MATH 348 or equivalent experience; and a knowledge of linear algebra equivalent to MATH 415; or consent of instructor.
This course satisfies the General Education Criteria in
Fall 2022 for:
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
38092
|
Lecture-Discussion
|
C13
|
10:00AM
-10:50AM
|
MWF
|
Henry Administration Bldg
|
Furedi, Z
|
|
|
|
38093
|
Lecture-Discussion
|
C14
|
10:00AM
-10:50AM
|
MWF
|
Henry Administration Bldg
|
Furedi, Z
|
|