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dc.contributor.author | Konnov I. | |
dc.date.accessioned | 2018-09-18T20:05:27Z | |
dc.date.available | 2018-09-18T20:05:27Z | |
dc.date.issued | 2014 | |
dc.identifier.issn | 0022-3239 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/136414 | |
dc.description.abstract | We consider a general class of variational inequality problems in a finite-dimensional space setting. The cost mapping need not be the gradient of any function. By using a right-hand side allocation technique, we transform such a problem into a collection of small-dimensional variational inequalities. The master problem is a set-valued variational inequality. We suggest a general iterative method for the problem obtained, which is convergent under monotonicity assumptions. We also show that regularization of partial problems enables us to create single-valued approximations for the cost mapping of the master problem and to propose simpler solution methods. © 2013 Springer Science+Business Media New York. | |
dc.relation.ispartofseries | Journal of Optimization Theory and Applications | |
dc.subject | Combined relaxation method | |
dc.subject | Decomposition | |
dc.subject | Regularization | |
dc.subject | Right-hand side allocation | |
dc.subject | Variational inequalities | |
dc.title | Right-Hand Side Decomposition for Variational Inequalities | |
dc.type | Article | |
dc.relation.ispartofseries-issue | 1 | |
dc.relation.ispartofseries-volume | 160 | |
dc.collection | Публикации сотрудников КФУ | |
dc.relation.startpage | 221 | |
dc.source.id | SCOPUS00223239-2014-160-1-SID84893785584 |