Postoptimal analysis in the coefficients matrix of piecewise linear fractional programming problems with non-degenerate optimal solution

In this paper, we discuss how changes in the coefficients matrix of piecewise linear fractional programming problems affect the non-degenerate optimal solution. We consider separate cases when changes occur in the coefficients of the basic and non-basic variables and derive bounds for each perturbat...

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Main Author: Behrouz Kheirfam
Format: Article
Language:English
Published: AGH Univeristy of Science and Technology Press 2010-01-01
Series:Opuscula Mathematica
Subjects:
Online Access:http://www.opuscula.agh.edu.pl/vol30/3/art/opuscula_math_3022.pdf
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author Behrouz Kheirfam
author_facet Behrouz Kheirfam
author_sort Behrouz Kheirfam
collection DOAJ
description In this paper, we discuss how changes in the coefficients matrix of piecewise linear fractional programming problems affect the non-degenerate optimal solution. We consider separate cases when changes occur in the coefficients of the basic and non-basic variables and derive bounds for each perturbation, while the optimal solution is invariant. We explain that this analysis is a generalization of the sensitivity analysis for \(LP\), \(LFP\) and \(PLP\). Finally, the results are described by some numerical examples.
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spelling doaj.art-3e32e36829914d279981f6ec881e84452022-12-21T23:29:54ZengAGH Univeristy of Science and Technology PressOpuscula Mathematica1232-92742010-01-01303281294http://dx.doi.org/10.7494/OpMath.2010.30.3.2813022Postoptimal analysis in the coefficients matrix of piecewise linear fractional programming problems with non-degenerate optimal solutionBehrouz Kheirfam0Azarbijan University of Tarbiat Moallem, Department of Mathematics, Tabriz, I.R. IranIn this paper, we discuss how changes in the coefficients matrix of piecewise linear fractional programming problems affect the non-degenerate optimal solution. We consider separate cases when changes occur in the coefficients of the basic and non-basic variables and derive bounds for each perturbation, while the optimal solution is invariant. We explain that this analysis is a generalization of the sensitivity analysis for \(LP\), \(LFP\) and \(PLP\). Finally, the results are described by some numerical examples.http://www.opuscula.agh.edu.pl/vol30/3/art/opuscula_math_3022.pdfpiecewise linear fractional programmingdegeneracyoptimal basisfractional programmingpiecewise linear programmingsensitivity analysis
spellingShingle Behrouz Kheirfam
Postoptimal analysis in the coefficients matrix of piecewise linear fractional programming problems with non-degenerate optimal solution
Opuscula Mathematica
piecewise linear fractional programming
degeneracy
optimal basis
fractional programming
piecewise linear programming
sensitivity analysis
title Postoptimal analysis in the coefficients matrix of piecewise linear fractional programming problems with non-degenerate optimal solution
title_full Postoptimal analysis in the coefficients matrix of piecewise linear fractional programming problems with non-degenerate optimal solution
title_fullStr Postoptimal analysis in the coefficients matrix of piecewise linear fractional programming problems with non-degenerate optimal solution
title_full_unstemmed Postoptimal analysis in the coefficients matrix of piecewise linear fractional programming problems with non-degenerate optimal solution
title_short Postoptimal analysis in the coefficients matrix of piecewise linear fractional programming problems with non-degenerate optimal solution
title_sort postoptimal analysis in the coefficients matrix of piecewise linear fractional programming problems with non degenerate optimal solution
topic piecewise linear fractional programming
degeneracy
optimal basis
fractional programming
piecewise linear programming
sensitivity analysis
url http://www.opuscula.agh.edu.pl/vol30/3/art/opuscula_math_3022.pdf
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