Nonlinear rescaling Lagrangians for nonconvex semidefinite programming

This paper focuses on the study of rescaling Lagrangians for solving nonconvex semidefinite programming problems. The rescaling nonlinear Lagrangians are generated by Löwner operators associated with convex real-valued functions. A set of conditions on the convex real-valued functions is proposed to...

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Vydané v:	Optimization Ročník 63; číslo 6; s. 899 - 920
Hlavní autori:	Zhang, Liwei, Li, Yang, Wu, Jia
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Taylor & Francis 03.06.2014 Taylor & Francis LLC
Predmet:	Algorithms augmented Lagrangian Convergence dual algorithm Lagrange multiplier Mathematical functions Mathematical problems Mathematical programming nonlinear Lagrangian Nonlinear programming Nonlinearity Operators Optimization Rescaling Semidefinite programming Studies
ISSN:	0233-1934, 1029-4945
On-line prístup:	Získať plný text
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