Two Point Constraint Approximation in Structural Optimization

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dc.contributor.authorHaftka, Raphael T.en
dc.contributor.authorNachlas, Joel A.en
dc.contributor.authorWatson, Layne T.en
dc.contributor.authorRizzo, Thomasen
dc.contributor.authorDesai, Rajendraen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:35:43Zen
dc.date.available2013-06-19T14:35:43Zen
dc.date.issued1986en
dc.description.abstractThe use of constraint approximations is recognized as a primary means of achieving computational efficiency in structural optimization. Existing approximation methods are based upon the value of the constraint function and its derivatives at a single point. The present paper explores the use of approximations based upon the value of the constraint and its derivative at two points. Several candidate approximations are suggested and tested for randomly generated rational constraint functions* Several of the approximations prove to be superior to the single point approximations.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000028/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000028/01/TR-86-21.pdfen
dc.identifier.trnumberTR-86-21en
dc.identifier.urihttp://hdl.handle.net/10919/19730en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleTwo Point Constraint Approximation in Structural Optimizationen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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