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

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Date

2004-03-01

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Wiley

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Article

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Abstract

AbstractThis 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)

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Journal or Series

Applied Numerical Analysis & Computational Mathematics

ISSN

1611-8170

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CLOSED

Keywords

Numerical computation of eigenvalues and eigenvectors of matrices, numerical examples, Numerical mathematical programming methods, extrema finding, Nonlinear programming, matrix eigenvalue, high-dimensional model representation, matrix inversion

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https://hdl.handle.net/11527/39340

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