Support function influences on the univariance of the enhanced multivariance product representation

Burcu Tunga*, Metin Demiralp

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper focuses on recently proposed Enhanced Multivariance Product Representation (EMPR) for multivariate functions. This method has been proposed to approximate the multivariate functions by certain additive less variate functions via support functions to get better quality than HDMR's. For this purpose, EMPR disintegrates a multivariate function to components which are respectively constant, univariate, bivariate and so on in ascending multivariance. This work aims at the investigation of the EMPR truncation qualities with respect to the selection of the support functions.

Original languageEnglish
Title of host publicationInternational Conference of Computational Methods in Sciences and Engineering 2009, ICCMSE 2009
Pages796-799
Number of pages4
DOIs
Publication statusPublished - 2012
EventInternational Conference of Computational Methods in Sciences and Engineering 2009, ICCMSE 2009 - Rhodes, Greece
Duration: 29 Sept 20094 Oct 2009

Publication series

NameAIP Conference Proceedings
Volume1504
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Conference of Computational Methods in Sciences and Engineering 2009, ICCMSE 2009
Country/TerritoryGreece
CityRhodes
Period29/09/094/10/09

Keywords

  • Approximation
  • High Dimensional Model Representation
  • Multivariate analysis

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