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dc.contributor.authorFranke, Richard H.
dc.dateJuly - September 1976
dc.date.accessioned2013-03-07T21:53:34Z
dc.date.available2013-03-07T21:53:34Z
dc.date.issued1976
dc.identifier.urihttp://hdl.handle.net/10945/30045
dc.description.abstractThe subject of linear optimal approximation has received considerable attention in recent years [4], [5], [6], [7], [8]. The subject of multivariate approximation for scattered data, including optimal approximations, is reviewed in [9]. The idea is appealing since the optimal approximation in a certain space of functions minimizes the norm of the error functional for approximations in that space. When the space is a Hilbert space, the computation of optimal approximations becomes rather simple, in theory [2]. A known reproducing kernel function provides the representers of linear functional s defined on the space. The optimal approximation satisfies the system of equations obtained by requiring that the approximation be exact for the representers of the functional s being used for the approximation, usually point evaluation functionals.en_US
dc.description.sponsorshipsupported by the Foundation Research Program of the Naval Postgraduate School with funds provided by the Chief of Naval Researchen_US
dc.description.urihttp://archive.org/details/oncomputationofo00fran
dc.language.isoeng
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.subject.lcshPOISSON DISTRIBUTION.en_US
dc.titleOn the computation of optimal approximations in Sard corner spacesen_US
dc.typeTechnical Reporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.subject.authorOptimal Approximationen_US
dc.subject.authorMultivariate Interpolationen_US
dc.subject.authorSard spacesen_US
dc.description.funderN0007476WR60052en_US
dc.identifier.npsreportNPS-53Fe76121


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