Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/887
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dc.contributorDepartment of Electrical Engineeringen_US
dc.creatorHo, SLen_US
dc.creatorNi, PHen_US
dc.creatorYang, Sen_US
dc.creatorWong, KFen_US
dc.date.accessioned2014-12-11T08:25:32Z-
dc.date.available2014-12-11T08:25:32Z-
dc.identifier.isbn1424403200en_US
dc.identifier.urihttp://hdl.handle.net/10397/887-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectComputational methodsen_US
dc.subjectFunctionsen_US
dc.subjectInterpolationen_US
dc.subjectInverse problemsen_US
dc.subjectMathematical modelsen_US
dc.subjectProblem solvingen_US
dc.titleAn adaptive interpolating moving least squares response surface model applied to the design optimizations of electromagnetic devicesen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: S. L. Hoen_US
dc.description.otherinformationAuthor name used in this publication: S. Y. Yangen_US
dcterms.abstractA Response Surface Model (RSM) based on a combination of Interpolating Moving Least Squares (IMLS) and multi-step method is proposed. The proposed RSM can automatically adjust the supports of its weight functions according to the distribution of the sampling points when it is used to reconstruct a computationally heavy design problem. The TEAM Workshop Problem 22 is solved to demonstrate the feasibility of the proposed method for solving Inverse problems.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE CEFC 2006 : 12th Biennial IEEE Conference of Electromagnetic Field Computation : April 30-May 3, 2006, Miami, Florida, USA, p. 58en_US
dcterms.issued2006-
dc.identifier.scopus2-s2.0-42749105413-
dc.relation.ispartofbookIEEE CEFC 2006 : 12th Biennial IEEE Conference of Electromagnetic Field Computation : April 30-May 3, 2006, Miami, Florida, USAen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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