Application of the penalty method to nonstationary approximation of an optimization problem

dc.contributor.author	Konnov I.
dc.date.accessioned	2018-09-18T20:17:16Z
dc.date.available	2018-09-18T20:17:16Z
dc.date.issued	2014
dc.identifier.issn	1066-369X
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/138326
dc.description.abstract	We solve a general optimization problem, where only approximation sequences are known instead of exact values of the goal function and feasible set. Under these conditions we suggest to utilize a penalty function method. We show that its convergence is attained for rather arbitrary means of approximation via suitable coercivity type conditions. © 2014 Allerton Press, Inc.
dc.relation.ispartofseries	Russian Mathematics
dc.subject	approximation sequence
dc.subject	coercivity conditions
dc.subject	non-stationarity
dc.subject	optimization problem
dc.subject	penalty method
dc.title	Application of the penalty method to nonstationary approximation of an optimization problem
dc.type	Article
dc.relation.ispartofseries-issue	8
dc.relation.ispartofseries-volume	58
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	49
dc.source.id	SCOPUS1066369X-2014-58-8-SID84904612524

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.