A PVT-Type Algorithm for Minimizing a Nonsmooth Convex Function


Autoria(s): Pang, Li-Ping; Xia, Zun-Quan
Data(s)

17/06/2012

17/06/2012

2003

Resumo

2000 Mathematics Subject Classification: 90C25, 68W10, 49M37.

A general framework of the (parallel variable transformation) PVT-type algorithm, called the PVT-MYR algorithm, for minimizing a non-smooth convex function is proposed, via the Moreau-Yosida regularization. As a particular scheme of this framework an ε-scheme is also presented. The global convergence of this algorithm is given under the assumptions of strong convexity of the objective function and an ε-descent condition determined by an ε-forced function. An appendix stating the proximal point algorithm is recalled in the last section.

Identificador

Serdica Mathematical Journal, Vol. 29, No 1, (2003), 11p-32p

1310-6600

http://hdl.handle.net/10525/1691

Idioma(s)

en

Publicador

Institute of Mathematics and Informatics Bulgarian Academy of Sciences

Palavras-Chave #Parallel Algorithm #Synchronous Parallel #Convex Minimization #Moreau-Yosida Regularization #Strong Convexity #Descent Condition #Forced Function
Tipo

Article