A Novel Approach for Solving Semidefinite Programs

A novel linearizing alternating direction augmented Lagrangian approach is proposed for effectively solving semidefinite programs (SDP). For every iteration, by fixing the other variables, the proposed approach alternatively optimizes the dual variables and the dual slack variables; then the primal...

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Main Authors: Hong-Wei Jiao, Ya-Kui Huang, Jing Chen
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/613205
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author Hong-Wei Jiao
Ya-Kui Huang
Jing Chen
author_facet Hong-Wei Jiao
Ya-Kui Huang
Jing Chen
author_sort Hong-Wei Jiao
collection DOAJ
description A novel linearizing alternating direction augmented Lagrangian approach is proposed for effectively solving semidefinite programs (SDP). For every iteration, by fixing the other variables, the proposed approach alternatively optimizes the dual variables and the dual slack variables; then the primal variables, that is, Lagrange multipliers, are updated. In addition, the proposed approach renews all the variables in closed forms without solving any system of linear equations. Global convergence of the proposed approach is proved under mild conditions, and two numerical problems are given to demonstrate the effectiveness of the presented approach.
format Article
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institution OA Journals
issn 1110-757X
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language English
publishDate 2014-01-01
publisher Wiley
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series Journal of Applied Mathematics
spelling doaj-art-043e75ce87294d5f9a3836300d936ccf2025-08-20T02:03:06ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/613205613205A Novel Approach for Solving Semidefinite ProgramsHong-Wei Jiao0Ya-Kui Huang1Jing Chen2Department of Mathematics, Henan Institute of Science and Technology, Xinxiang 453003, ChinaSchool of Mathematics and Statistics, Xidian University, Xi’an 710071, ChinaDepartment of Basic Science, Henan Mechanical and Electrical Engineering College, Xinxiang 453002, ChinaA novel linearizing alternating direction augmented Lagrangian approach is proposed for effectively solving semidefinite programs (SDP). For every iteration, by fixing the other variables, the proposed approach alternatively optimizes the dual variables and the dual slack variables; then the primal variables, that is, Lagrange multipliers, are updated. In addition, the proposed approach renews all the variables in closed forms without solving any system of linear equations. Global convergence of the proposed approach is proved under mild conditions, and two numerical problems are given to demonstrate the effectiveness of the presented approach.http://dx.doi.org/10.1155/2014/613205
spellingShingle Hong-Wei Jiao
Ya-Kui Huang
Jing Chen
A Novel Approach for Solving Semidefinite Programs
Journal of Applied Mathematics
title A Novel Approach for Solving Semidefinite Programs
title_full A Novel Approach for Solving Semidefinite Programs
title_fullStr A Novel Approach for Solving Semidefinite Programs
title_full_unstemmed A Novel Approach for Solving Semidefinite Programs
title_short A Novel Approach for Solving Semidefinite Programs
title_sort novel approach for solving semidefinite programs
url http://dx.doi.org/10.1155/2014/613205
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