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.
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This work was supported by grant No. 259488 from Academy of Finland and by the RFBR grant, project No. 13-01-00029a.
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Konnov, I.V. Right-Hand Side Decomposition for Variational Inequalities. J Optim Theory Appl 160, 221–238 (2014). https://doi.org/10.1007/s10957-013-0370-0
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DOI: https://doi.org/10.1007/s10957-013-0370-0