A strongly convergent combined relaxation method in hilbert spaces

dc.contributor.author	Konnov I.
dc.contributor.author	Gwinner J.
dc.date.accessioned	2018-09-18T20:29:15Z
dc.date.available	2018-09-18T20:29:15Z
dc.date.issued	2014
dc.identifier.issn	0163-0563
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/140406
dc.description.abstract	We consider a combined relaxation method for variational inequalities in a Hilbert space setting. Methods of this class are known to solve finite-dimensional variational inequalities under mild monotonicity type assumptions, whereas in Hilbert space strong monotonicity is the standard assumption for strong convergence. Here, we relax this condition and show strong convergence of such a method, when strong monotonicity holds only on a subspace of finite co-dimension. Thus, the method applies to semi-coercive unilateral boundary value problems in mathematical physics. © 2014 Copyright Taylor & Francis Group, LLC.
dc.relation.ispartofseries	Numerical Functional Analysis and Optimization
dc.subject	Combined relaxation methods
dc.subject	Finite co-dimension
dc.subject	Hilbert space
dc.subject	Semi-coercive boundary value problem
dc.subject	Strong convergence
dc.subject	Strong monotonicity
dc.subject	Variational inequalities
dc.title	A strongly convergent combined relaxation method in hilbert spaces
dc.type	Conference Paper
dc.relation.ispartofseries-issue	7-9
dc.relation.ispartofseries-volume	35
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	1066
dc.source.id	SCOPUS01630563-2014-35-7-9-SID84904322918

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