Please use this identifier to cite or link to this item:
https://doi.org/10.1023/A:1014861331301
DC Field | Value | |
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dc.title | Smoothing functions and smoothing newton method for complementarity and variational inequality problems | |
dc.contributor.author | Qi, L. | |
dc.contributor.author | Sun, D. | |
dc.date.accessioned | 2014-10-28T02:45:41Z | |
dc.date.available | 2014-10-28T02:45:41Z | |
dc.date.issued | 2002-04 | |
dc.identifier.citation | Qi, 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.issn | 00223239 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/104140 | |
dc.description.abstract | This 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.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1023/A:1014861331301 | |
dc.source | Scopus | |
dc.subject | computable smoothing functions | |
dc.subject | quadratic convergence | |
dc.subject | smoothing Newton methods | |
dc.subject | Variational inequality problems | |
dc.type | Article | |
dc.contributor.department | MATHEMATICS | |
dc.description.doi | 10.1023/A:1014861331301 | |
dc.description.sourcetitle | Journal of Optimization Theory and Applications | |
dc.description.volume | 113 | |
dc.description.issue | 1 | |
dc.description.page | 121-147 | |
dc.identifier.isiut | 000175321300008 | |
Appears in Collections: | Staff Publications |
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