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Management Science Vol. 22 No. 8 1976

Fractional Programming. I, Duality

Siegfried Schaible

University of Cologne and Stanford University

Abstract

This paper, which is presented in two parts, is a contribution to the theory of fractional programming, i.e., maximization of quotients subject to constraints. In Part I a duality theory for linear and concave-convex fractional programs is developed and related to recent results by Bector, Craven-Mond, Jagannathan, Sharma-Swarup, et al. Basic duality theorems of linear, quadratic and convex programming are extended. In Part II Dinkelbach's algorithm solving fractional programs is considered. The rate of convergence as well as a priori and a posteriori error estimates are determined. In view of these results the stopping rule of the algorithm is changed. Also the starting rule is modified using duality as introduced in Part I. Furthermore a second algorithm is proposed. In contrast to Dinkelbach's procedure the rate of convergence is still controllable. Error estimates are obtained too.

DOI
10.1287/mnsc.22.8.858
Volume
22
Issue
8
Pages
858-867
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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