DocumentCode :
3013389
Title :
A finitely solvable class of approximating problems
Author :
Meyer, Gerard G. L.
Author_Institution :
North Carolina State University, Raleigh, NC
fYear :
1976
fDate :
1-3 Dec. 1976
Firstpage :
478
Lastpage :
482
Abstract :
Let P be the following nonlinear programming problem: given m+1 continuously differentiable convex maps f0 (??), f1(??),..., fm(??) from En into E, minimize f0(z) subject to fj(z) ?? 0, j=1,2, ..., m. A well known approach for solving P consists of embedding P into a family of approximate problems P(??). Given ??>0, the problem P(??) is to find a point z such that fj(z)??0, j=1,2, ..., m and such that for every h in En there exists j in J(z, ??), j depending on h, satisfying ????fj(z),h?? ?? 0, with J(z, ??) = {j??{1,2, ...., m}|fj(z)+1/?? ?? 0} u {0}. In general P(??) cannot be solved in a finite number of iterations and therefore one is obliged to use antizigzagging schemes of varying complexity. The purpose of this paper is to describe a class C of problems P such that the approximating problems P(??) may be solved in a finite number of steps.
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control including the 15th Symposium on Adaptive Processes, 1976 IEEE Conference on
Conference_Location :
Clearwater, FL, USA
Type :
conf
DOI :
10.1109/CDC.1976.267779
Filename :
4045639
Link To Document :
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