Bivariate enhanced multivariance products representation (EMPR) at zero volume limit via geometric separation

Süha Tuna, Metin Demiralp

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

9 Citations (Scopus)

Abstract

In this work, Enhanced Multivariance Products Representation (EMPR) for bivariate functions is considered specifically. In order to approximate a function involving two independent variables, zeroth order EMPR approximant is taken into account. Due to this aim, univariate support functions are generated on a rectangular geometry using an optimization process. The area of the relevant rectangle is shrinked to zero value limit to increase the efficiency of the corresponding EMPR approximation with the help of a new technique, that is, geometric separation.

Original languageEnglish
Title of host publicationInternational Conference of Computational Methods in Sciences and Engineering 2015, ICCMSE 2015
EditorsZacharoula Kalogiratou, Theodore E. Simos, Theodore Monovasilis, Theodore E. Simos, Theodore E. Simos
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735413498
DOIs
Publication statusPublished - 31 Dec 2015
EventInternational Conference of Computational Methods in Sciences and Engineering 2015, ICCMSE 2015 - Athens, Greece
Duration: 20 Mar 201523 Mar 2015

Publication series

NameAIP Conference Proceedings
Volume1702
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Conference of Computational Methods in Sciences and Engineering 2015, ICCMSE 2015
Country/TerritoryGreece
CityAthens
Period20/03/1523/03/15

Bibliographical note

Publisher Copyright:
© 2015 AIP Publishing LLC.

Keywords

  • Approximation
  • Bivariate functions
  • Enhanced multivariance products representation (EMPR)
  • Geometric separation
  • Zero volume

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