A parallel dual-type algorithm for a class of quadratic programming problems and applications

In this paper, we present a parallel dual-type (PDT) algorithm for solving a strictly convex quadratic programming problem with equality and box constraints. The PDT algorithm is suitable for distributed implementation and can be used as a basic optimization module for handling optimization problems...

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Veröffentlicht in:	Expert systems with applications Jg. 36; H. 3; S. 5190 - 5199
Hauptverfasser:	Lin, Shieh-Shing, Lin, Ch’i-Hsin, Horng, Shih-Cheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2009
Schlagworte:	Dual method Optimization Parallel processing Power-system state estimation Quadratic programming problems Parallel processing Power-system state estimation Quadratic programming problems Optimization Dual method
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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