Optimality criteria for general unconstrained geometric programming problems

Tibor Illés

Research output: Contribution to journalArticle

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.
LanguageEnglish
Pages103-110
Number of pages8
JournalComputers and Mathematics with Applications
Volume21
Issue number1
DOIs
Publication statusPublished - 1 Jan 1991

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Geometric Programming
Optimality Criteria
Conjugate functions
Generalization

Keywords

  • general geometric programming
  • conjugate function
  • optimality criteria
  • stationary point

Cite this

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Optimality criteria for general unconstrained geometric programming problems. / Illés, Tibor.

In: Computers and Mathematics with Applications, Vol. 21, No. 1, 01.01.1991, p. 103-110.

Research output: Contribution to journalArticle

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