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Title of Article

DEVELOPMENT OF A PARALLEL METHOD OF ADAPTIVE MULTISTAGE REDUCTION


Issue
6
Date
2013

Article type
scientific article
UDC
519.853.4
Pages
216-222
Keywords
multiextremal optimization, adaptive decision rules, parallel computing, Lipschitz constant evaluation


Authors
Gergel A.V.
Nizhegorodskiy gosuniversitet im. N.I. Lobachevskogo

Grishagin V.A.
Nizhegorodskiy gosuniversitet im. N.I. Lobachevskogo

Strongin R.G.
Nizhegorodskiy gosuniversitet im. N.I. Lobachevskogo


Abstract
Multiextremal optimization methods based on an adaptive multistage dimensionality reduction scheme are con-sidered. These methods are extended for the generalized case of parallel computing and some effective implementa-tion problems are discussed. To speed up calculations, a new procedure is developed to estimate local Lipschitz con-stants using the additive convolution technique. The results of numerical experiments are given that prove the effec-tiveness of the proposed computational schemes.

File (in Russian)