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A Parametric Sensitivity Analysis for the Solution of Extrema Evaluation Problems via a Dimensionality Reducing Approximation Method

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dc.contributor.authorTülin, Kaman
dc.contributor.authorMetin, Demiralp
dc.date.accessioned2026-01-24T23:02:02Z
dc.date.issued2004-03-01
dc.description.abstractAbstractThis work aims to apply High Dimensional Model Representation (HDMR) to the sensitivity coefficient determination of the solutions of a multivariate extrema problem. The derivations are made for general functional structure and the illustrative applications are related to structures where the resulting extrema equations are matrix eigenvalue problems. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
dc.description.urihttps://doi.org/10.1002/anac.200310023
dc.description.urihttps://zbmath.org/2141592
dc.description.urihttps://dx.doi.org/10.1002/anac.200310023
dc.identifier.doi10.1002/anac.200310023
dc.identifier.eissn1611-8189
dc.identifier.endpage269
dc.identifier.issn1611-8170
dc.identifier.openairedoi_dedup___::3347efd2a37cd790352065ccc50687d1
dc.identifier.startpage260
dc.identifier.urihttps://hdl.handle.net/11527/39340
dc.identifier.volume1
dc.language.isoeng
dc.publisherWiley
dc.relation.ispartofApplied Numerical Analysis & Computational Mathematics
dc.rightsCLOSED
dc.subjectNumerical computation of eigenvalues and eigenvectors of matrices
dc.subjectnumerical examples
dc.subjectNumerical mathematical programming methods
dc.subjectextrema finding
dc.subjectNonlinear programming
dc.subjectmatrix eigenvalue
dc.subjecthigh-dimensional model representation
dc.subjectmatrix inversion
dc.titleA Parametric Sensitivity Analysis for the Solution of Extrema Evaluation Problems via a Dimensionality Reducing Approximation Method
dc.typeArticle
dspace.entity.typePublication

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