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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Format: | Article |
Language: | English |
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SpringerOpen
2017-04-01
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Series: | Journal of Inequalities and Applications |
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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. |
first_indexed | 2024-12-12T06:37:35Z |
format | Article |
id | doaj.art-62ee76cba97c4efca68faeaedfed0443 |
institution | Directory Open Access Journal |
issn | 1029-242X |
language | English |
last_indexed | 2024-12-12T06:37:35Z |
publishDate | 2017-04-01 |
publisher | SpringerOpen |
record_format | Article |
series | Journal of Inequalities and Applications |
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 |