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dc.contributor.authorLing, C.
dc.contributor.authorYin, H.
dc.contributor.authorZhou, Guanglu
dc.date.accessioned2017-01-30T13:56:13Z
dc.date.available2017-01-30T13:56:13Z
dc.date.created2012-03-23T01:19:49Z
dc.date.issued2011
dc.identifier.citationLing, Chen and Yin, Hongxia and Zhou, Guanglu. 2011. A smoothing Newton-type method for solving the L2 spectral estimation problem with lower and upper bounds. Computational Optimization and Applications. 50: pp. 351-378.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/36534
dc.identifier.doi10.1007/s10589-010-9356-0
dc.description.abstract

This paper discusses the L 2 spectral estimation problem with lower and upper bounds. To the best of our knowledge, it is unknown if the existing methods for this problem have superlinear convergence property or not. In this paper we propose a nonsmooth equation reformulation for this problem. Then we present a smoothing Newton-type method for solving the resulting system of nonsmooth equations. Global and local superlinear convergence of the proposed method are proved under some mild conditions. Numerical tests show that this method is promising.

dc.publisherSpringer, Van Godewijckstraat
dc.titleA smoothing Newton-type method for solving the L2 spectral estimation problem with lower and upper bounds
dc.typeJournal Article
dcterms.source.volume50
dcterms.source.startPage351
dcterms.source.endPage378
dcterms.source.issn09266003
dcterms.source.titleComputational Optimization and Applications
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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