Auxiliary principle technique for multivalued mixed quasi-variational inequalities

Noor, MA; Rassias, TM

dc.contributor.author	Noor, MA	en
dc.contributor.author	Rassias, TM	en
dc.date.accessioned	2014-03-01T01:19:56Z
dc.date.available	2014-03-01T01:19:56Z
dc.date.issued	2004	en
dc.identifier.issn	1331-4343	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15775
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-2542547369&partnerID=40&md5=e34b43d91e22101b5f26ed61e713fde1	en
dc.subject	Auxiliary principle	en
dc.subject	Convergence	en
dc.subject	Iterative methods	en
dc.subject	Variational inequalities	en
dc.subject.classification	Mathematics	en
dc.subject.other	ALGORITHMS	en
dc.title	Auxiliary principle technique for multivalued mixed quasi-variational inequalities	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	In this paper, we suggest and analyze a class of predictor-corrector methods for solving mixed quasi variational inequalities by using the auxiliary principle technique. We prove that the convergence of these predictor-corrector type methods requires only the partial relaxed strongly monotonicity, which is a weaker condition than co-coercivity. Since the mixed quasi variational inequalities include (quasi) variational inequalities as special cases, our results continue to hold for these problems. Our results represent an improvement and refinement of the previously known results.	en
heal.publisher	ELEMENT	en
heal.journalName	Mathematical Inequalities and Applications	en
dc.identifier.isi	ISI:000221580800013	en
dc.identifier.volume	7	en
dc.identifier.issue	2	en
dc.identifier.spage	267	en
dc.identifier.epage	276	en