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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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Wiley

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Araştırma Projeleri

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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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Applied Numerical Analysis & Computational Mathematics

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1611-8170

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CLOSED

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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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