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Optimality criteria for general unconstrained geometric programming problems

Authors :
Tibor Illés
Source :
Computers & Mathematics with Applications. (1):103-110
Publisher :
Published by Elsevier Ltd.

Abstract

This paper presents a possible generalization of geometric programming problems. Such a generalization was proposed by Peterson [6], based on Rockafellar's [8] conjugate function theory. Using their results, we define a slightly different, more symmetric dual pair of general unconstrained geometric programming problems. In the second chapter the conjugate function is defined and some of its properties are demonstrated. In the third chapter the general unconstrained geometric programming problem and its dual pair are introduced and some of its fundamental properties are proved. The primal optimality criteria is based on Peterson's papers [6,7] and the dual optimality criteria completes our examinations.

Details

Language :
English
ISSN :
08981221
Issue :
1
Database :
OpenAIRE
Journal :
Computers & Mathematics with Applications
Accession number :
edsair.doi.dedup.....595f3f27fb088c08605620b228617d8c
Full Text :
https://doi.org/10.1016/0898-1221(91)90235-V