Convex separable minimization problems with a linear constraint and bounded variables

Consider the minimization problem with a convex separable objective function over a feasible region defined by linear equality constraint(s)/linear inequality constraint of the form “greater than or equal to” and bounds on the variables. A necessary and sufficient condition and a sufficient conditio...

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Main Author: Stefan M. Stefanov
Format: Article
Language:English
Published: Wiley 2005-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/IJMMS.2005.1339
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author Stefan M. Stefanov
author_facet Stefan M. Stefanov
author_sort Stefan M. Stefanov
collection DOAJ
description Consider the minimization problem with a convex separable objective function over a feasible region defined by linear equality constraint(s)/linear inequality constraint of the form “greater than or equal to” and bounds on the variables. A necessary and sufficient condition and a sufficient condition are proved for a feasible solution to be an optimal solution to these two problems, respectively. Iterative algorithms of polynomial complexity for solving such problems are suggested and convergence of these algorithms is proved. Some convex functions, important for problems under consideration, as well as computational results are presented.
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institution Kabale University
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spelling doaj-art-1b86b37a4acf43b79ac6aca34bb58db32025-02-03T01:31:28ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252005-01-01200591339136310.1155/IJMMS.2005.1339Convex separable minimization problems with a linear constraint and bounded variablesStefan M. Stefanov0Department of Mathematics, Faculty of Natural Sciences and Mathematics, South-West University “Neofit Rilski”, Blagoevgrad 2700, BulgariaConsider the minimization problem with a convex separable objective function over a feasible region defined by linear equality constraint(s)/linear inequality constraint of the form “greater than or equal to” and bounds on the variables. A necessary and sufficient condition and a sufficient condition are proved for a feasible solution to be an optimal solution to these two problems, respectively. Iterative algorithms of polynomial complexity for solving such problems are suggested and convergence of these algorithms is proved. Some convex functions, important for problems under consideration, as well as computational results are presented.http://dx.doi.org/10.1155/IJMMS.2005.1339
spellingShingle Stefan M. Stefanov
Convex separable minimization problems with a linear constraint and bounded variables
International Journal of Mathematics and Mathematical Sciences
title Convex separable minimization problems with a linear constraint and bounded variables
title_full Convex separable minimization problems with a linear constraint and bounded variables
title_fullStr Convex separable minimization problems with a linear constraint and bounded variables
title_full_unstemmed Convex separable minimization problems with a linear constraint and bounded variables
title_short Convex separable minimization problems with a linear constraint and bounded variables
title_sort convex separable minimization problems with a linear constraint and bounded variables
url http://dx.doi.org/10.1155/IJMMS.2005.1339
work_keys_str_mv AT stefanmstefanov convexseparableminimizationproblemswithalinearconstraintandboundedvariables