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The influence of the support functions on the quality of enhanced multivariance product representation

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Abstract

This paper presents recently developed Enhanced Multivariance Product Representation (EMPR) method for multivariate functions. EMPR disintegrates a multivariate function to components which are respectively constant, univariate, bivariate and so on in ascending multivariance. Although the EMPR method has the same philosophy with the High Dimensional Model Representation (HDMR) method, it has been proposed to get better quality than HDMR’s with the help of the support functions. For this purpose, we investigate the EMPR truncation qualities with respect to the selection of the support functions. The obtained results and a number of numerical implementations to show the efficiency of the method are also given in this paper.

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Authors and Affiliations

  1. Informatics Institute, Computational Science and Engineering Program, Istanbul Technical University, Maslak, 34469, Istanbul, Turkey

    Burcu Tunga & Metin Demiralp

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  1. Burcu Tunga
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  2. Metin Demiralp
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Correspondence to Burcu Tunga.

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Tunga, B., Demiralp, M. The influence of the support functions on the quality of enhanced multivariance product representation. J Math Chem 48, 827–840 (2010). https://doi.org/10.1007/s10910-010-9714-2

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  • DOI: https://doi.org/10.1007/s10910-010-9714-2

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