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

Burcu Tunga*, Metin Demiralp

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

43 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)827-840
Sayfa sayısı14
DergiJournal of Mathematical Chemistry
Hacim48
Basın numarası3
DOI'lar
Yayın durumuYayınlandı - 2010

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