ECE 480: Optimization by
Vector Space Methods
Summary:
Introduction to
normed, Banach and Hilbert spaces; applications of the projection theorem
and the Hahn-Banach theorem to problems of minimum norm, mathematical programming,
and optimal control; the Kuhn-Tucker theorem and Pontryagin's maximum principle;
introduction to iterative methods.
-
Normed vector spaces
-
Iterative methods, fixed-point
theorems
-
Hilbert spaces - the projection
theorem
-
Hahn-Banach theorem: minimum
norm problems
-
Optimization problems in Hilbert
and Banach spaces
-
Local and global theory of constrained
optimization: nonlinear programming and the Kuhn-Tucker theorem; optimal
control and Pontryagin's minimum principle
Texts:
D.G. Luenberger,
Optimization
by Vector Space Methods, John Wiley & Sons, 1969.
Prerequisites:
MATH 315 or 383
and MATH 347, or consent of instructor. ECE
390 or MATH 384 desirable but not essential.
Course Credit:
1 unit.
Further Information:
Curriculum
in Control Web Page
Last Modified: November 3, 1998