Linear decomposition approach for a class of nonconvex programming problems

Abstract This paper presents a linear decomposition approach for a class of nonconvex programming problems by dividing the input space into polynomially many grids. It shows that under certain assumptions the original problem can be transformed and decomposed into a polynomial number of equivalent l...

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Main Authors: Peiping Shen, Chunfeng Wang
Format: Article
Language:English
Published: SpringerOpen 2017-04-01
Series:Journal of Inequalities and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13660-017-1342-y
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author Peiping Shen
Chunfeng Wang
author_facet Peiping Shen
Chunfeng Wang
author_sort Peiping Shen
collection DOAJ
description Abstract This paper presents a linear decomposition approach for a class of nonconvex programming problems by dividing the input space into polynomially many grids. It shows that under certain assumptions the original problem can be transformed and decomposed into a polynomial number of equivalent linear programming subproblems. Based on solving a series of liner programming subproblems corresponding to those grid points we can obtain the near-optimal solution of the original problem. Compared to existing results in the literature, the proposed algorithm does not require the assumptions of quasi-concavity and differentiability of the objective function, and it differs significantly giving an interesting approach to solving the problem with a reduced running time.
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spelling doaj.art-62ee76cba97c4efca68faeaedfed04432022-12-22T00:34:26ZengSpringerOpenJournal of Inequalities and Applications1029-242X2017-04-012017111110.1186/s13660-017-1342-yLinear decomposition approach for a class of nonconvex programming problemsPeiping Shen0Chunfeng Wang1College of Mathematics and Information Science, Henan Normal UniversityCollege of Mathematics and Information Science, Henan Normal UniversityAbstract This paper presents a linear decomposition approach for a class of nonconvex programming problems by dividing the input space into polynomially many grids. It shows that under certain assumptions the original problem can be transformed and decomposed into a polynomial number of equivalent linear programming subproblems. Based on solving a series of liner programming subproblems corresponding to those grid points we can obtain the near-optimal solution of the original problem. Compared to existing results in the literature, the proposed algorithm does not require the assumptions of quasi-concavity and differentiability of the objective function, and it differs significantly giving an interesting approach to solving the problem with a reduced running time.http://link.springer.com/article/10.1186/s13660-017-1342-ynonconvex programmingglobal optimizationlinear decomposition approachapproximation algorithmcomputational complexity
spellingShingle Peiping Shen
Chunfeng Wang
Linear decomposition approach for a class of nonconvex programming problems
Journal of Inequalities and Applications
nonconvex programming
global optimization
linear decomposition approach
approximation algorithm
computational complexity
title Linear decomposition approach for a class of nonconvex programming problems
title_full Linear decomposition approach for a class of nonconvex programming problems
title_fullStr Linear decomposition approach for a class of nonconvex programming problems
title_full_unstemmed Linear decomposition approach for a class of nonconvex programming problems
title_short Linear decomposition approach for a class of nonconvex programming problems
title_sort linear decomposition approach for a class of nonconvex programming problems
topic nonconvex programming
global optimization
linear decomposition approach
approximation algorithm
computational complexity
url http://link.springer.com/article/10.1186/s13660-017-1342-y
work_keys_str_mv AT peipingshen lineardecompositionapproachforaclassofnonconvexprogrammingproblems
AT chunfengwang lineardecompositionapproachforaclassofnonconvexprogrammingproblems