Back to Search
Start Over
Optimality criteria for general unconstrained geometric programming problems
- 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.
- Subjects :
- Mathematical optimization
Optimality criterion
Generalization
stationary point
Stationary point
Dual (category theory)
Algebra
Computational Mathematics
optimality criteria
Computational Theory and Mathematics
Modeling and Simulation
Modelling and Simulation
conjugate function
Geometric programming
general geometric programming
Conjugate functions
Mathematics
Dual pair
Subjects
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