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dc.contributor.authorHosder, Serhaten_US
dc.contributor.authorWatson, Layne T.en_US
dc.contributor.authorGrossman, Bernarden_US
dc.contributor.authorMason, William H.en_US
dc.contributor.authorKim, Hongmanen_US
dc.date.accessioned2013-05-28T20:43:26Zen_US
dc.date.accessioned2013-06-19T14:36:57Z
dc.date.available2013-05-28T20:43:26Zen_US
dc.date.available2013-06-19T14:36:57Z
dc.date.issued2001
dc.identifierhttp://eprints.cs.vt.edu/archive/00000528/en_US
dc.identifier.urihttp://hdl.handle.net/10919/20047
dc.descriptionSurrogate functions have become an important tool in multidisciplinary design optimization to deal with noisy functions, high computational cost, and the practical difficulty of integrating legacy disciplinary computer codes. A combination of mathematical, statistical, and engineering techniques, well known in other contexts, have made polynomial surrogate functions viable for MDO. Despite the obvious limitations imposed by sparse high fidelity data in high dimensions and the locality of low order polynomial approximations, the success of the panoply of techniques based on polynomial response surface approximations for MDO shows that the implementation details are more important than the underlying approximation method (polynomial, spline, DACE, kernel regression, etc.). This paper surveys some of the ancillary techniques—statistics, global search, parallel computing, variable complexity modeling—that augment the construction and use of polynomial surrogates.en_US
dc.formatpdf http://eprints.cs.vt.edu/archive/00000528/01/5088576-HOSDER.pdfen_US
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen_US
dc.subjectParallel computationen_US
dc.titlePolynomial Response Surface Approximations for the Multidisciplinary Design Optimization of a High Speed Civil Transporten_US
dc.typeTechnical report - Departmentalen_US
dc.identifier.trnumberTR-01-03en_US
dc.type.dcmitypeTexten_US


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