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Proximal-Resolvent Methods for Mixed Variational Inequalities

dc.creatorAslam Noor, Muhammad
dc.creatorInayat Noor, Khalida
dc.date2008-10-01
dc.date.accessioned2019-05-03T12:36:40Z
dc.date.available2019-05-03T12:36:40Z
dc.identifierhttp://revistas.ufro.cl/ojs/index.php/cubo/article/view/1495
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/84226
dc.descriptionIt is well-known that the mixed variational inequalities are equivalent to the fixed point problem. We use this alternative equivalent formulation to suggest and analyze some new proximal resolvent methods for solving mixed variational inequalities. We also study the convergence of these new methods under some mild conditions. These new iterative methods include the projection, extragradient and proximal methods as special cases. Results obtained in this paper represent a refinement and improvement of the previously known results.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad de La Frontera. Temuco, Chile.en-US
dc.relationhttp://revistas.ufro.cl/ojs/index.php/cubo/article/view/1495/1349
dc.sourceCUBO, A Mathematical Journal; Vol. 10 Núm. 3 (2008): CUBO, A Mathematical Journal; 1–12es-ES
dc.sourceCUBO, A Mathematical Journal; Vol 10 No 3 (2008): CUBO, A Mathematical Journal; 1–12en-US
dc.source0719-0646
dc.source0716-7776
dc.titleProximal-Resolvent Methods for Mixed Variational Inequalitiesen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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