A PVT-Type Algorithm for Minimizing a Nonsmooth Convex Function
Data(s) |
17/06/2012
17/06/2012
2003
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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 |
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 |