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 |
|