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dc.contributor.authorFeng, Zhi
dc.contributor.authorTeo, Kok
dc.contributor.authorRehbock, Volker
dc.contributor.editorM. Fukushima, et al
dc.date.accessioned2017-01-30T14:41:53Z
dc.date.available2017-01-30T14:41:53Z
dc.date.created2009-03-05T00:58:07Z
dc.date.issued2007
dc.identifier.citationFeng, Zhi Guo and Teo, Kok Lay and Rehbock, Volker. 2007. A Smoothing Approach for Semi-infinite Programming with Projected Newton-type Algorithm, in M. Fukushima, et al (ed), The 7th International Conference on Optimization: Techniques and Applications (ICOTA7), Dec 12 2007, pp. 63-64.Kobe, Japan: Universal Academy Press, Inc
dc.identifier.urihttp://hdl.handle.net/20.500.11937/40355
dc.description.abstract

In this paper we apply the projected Newton-type algorithm to solve semi-infinite programming problems. The infinite constraints are replaced by an equivalent nonsmooth function which is then approximated by a smoothing function. The KKT system is formulated as a nonsmooth equation. We then apply the projected Newton-type algorithm to solve this equation and show that the accumulation point satisfies the KKT system. Some numerical results are presented for illustration.

dc.publisherUniversal Academy Press, Inc
dc.titleA Smoothing Approach for Semi-infinite Programming with Projected Newton-type Algorithm
dc.typeConference Paper
dcterms.source.startPage63
dcterms.source.endPage64
dcterms.source.titleThe 7th International Conference on Optimization: Techniques and Applications (ICOTA7) Proceedings
dcterms.source.seriesThe 7th International Conference on Optimization: Techniques and Applications (ICOTA7) Proceedings
dcterms.source.isbn978-4-946443-15-2
dcterms.source.conferenceThe 7th International Conference on Optimization: Techniques and Applications (ICOTA7)
dcterms.source.conference-start-dateDec 12 2007
dcterms.source.conferencelocationKobe, Japan
dcterms.source.placeTokyo, Japan
curtin.accessStatusFulltext not available
curtin.facultySchool of Science and Computing
curtin.facultyDepartment of Mathematics and Statistics
curtin.facultyFaculty of Science and Engineering


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