Please use this identifier to cite or link to this item: https://doi.org/10.1023/A:1014861331301
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dc.titleSmoothing functions and smoothing newton method for complementarity and variational inequality problems
dc.contributor.authorQi, L.
dc.contributor.authorSun, D.
dc.date.accessioned2014-10-28T02:45:41Z
dc.date.available2014-10-28T02:45:41Z
dc.date.issued2002-04
dc.identifier.citationQi, L., Sun, D. (2002-04). Smoothing functions and smoothing newton method for complementarity and variational inequality problems. Journal of Optimization Theory and Applications 113 (1) : 121-147. ScholarBank@NUS Repository. https://doi.org/10.1023/A:1014861331301
dc.identifier.issn00223239
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/104140
dc.description.abstractThis paper provides for the first time some computable smoothing functions for variational inequality problems with general constraints. This paper proposes also a new version of the smoothing Newton method and establishes its global and superlinear (quadratic) convergence under conditions weaker than those previously used in the literature. These are achieved by introducing a general definition for smoothing functions, which include almost all the existing smoothing functions as special cases.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1023/A:1014861331301
dc.sourceScopus
dc.subjectcomputable smoothing functions
dc.subjectquadratic convergence
dc.subjectsmoothing Newton methods
dc.subjectVariational inequality problems
dc.typeArticle
dc.contributor.departmentMATHEMATICS
dc.description.doi10.1023/A:1014861331301
dc.description.sourcetitleJournal of Optimization Theory and Applications
dc.description.volume113
dc.description.issue1
dc.description.page121-147
dc.identifier.isiut000175321300008
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