Lagrange multipliers, (exact) regularization and error bounds for monotone variational inequalities
成果类型:
Article
署名作者:
Charitha, C.; Dutta, Joydeep; Luke, D. Russell
署名单位:
University of Gottingen; Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kanpur; University of Gottingen
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-016-1022-6
发表日期:
2017
页码:
519-549
关键词:
complementarity-problems
摘要:
We examine two central regularization strategies for monotone variational inequalities, the first a direct regularization of the operative monotone mapping, and the second via regularization of the associated dual gap function. A key link in the relationship between the solution sets to these various regularized problems is the idea of exact regularization, which, in turn, is fundamentally associated with the existence of Lagrange multipliers for the regularized variational inequality. A regularization is said to be exact if a solution to the regularized problem is a solution to the unregularized problem for all parameters beyond a certain value. The Lagrange multipliers corresponding to a particular regularization of a variational inequality, on the other hand, are defined via the dual gap function. Our analysis suggests various conceptual, iteratively regularized numerical schemes, for which we provide error bounds, and hence stopping criteria, under the additional assumption that the solution set to the unregularized problem is what we call weakly sharp of order greater than one.