Yayın:
Numerical Studies on the Use of Enhanced Multivariance Product Representation as a Multiway Array Decomposer

dc.contributor.authorGözükirmizi, Coşar
dc.contributor.authorDemiralp, Metin
dc.contributor.authorSimos, Theodore E.
dc.contributor.authorPsihoyios, George
dc.contributor.authorTsitouras, Ch.
dc.date.accessioned2026-01-25T05:14:51Z
dc.date.issued2010-01-01
dc.description.abstractHigh dimensional model representation (HDMR) is a method to approximate a multivariate function by the sum of a constant, univariate, bivariate and other higher variate functions. HDMR philosophy may also be used as a multiway array decomposer approximating an N‐way array by the sum of a constant, vector, matrix and higher way arrays. Enhanced multivariance product representation (EMPR) provides univariate factors for each term of the representation and the choice of the factors affect the quality of the truncation. In multiway array decomposition case, this approach coincides with taking the outer product of the components by certain predetermined vectors instead of vectors with all elements that are 1. This work focuses on this case, investigating the application of EMPR to multiway array decomposition.
dc.description.urihttps://doi.org/10.1063/1.3498300
dc.description.urihttps://dx.doi.org/10.1063/1.3498300
dc.identifier.doi10.1063/1.3498300
dc.identifier.endpage1925
dc.identifier.issn0094-243X
dc.identifier.openairedoi_dedup___::6b0b9e6b4743cea0d643e41449c061bd
dc.identifier.orcid0000-0001-7167-8722
dc.identifier.startpage1922
dc.identifier.urihttps://hdl.handle.net/11527/46742
dc.publisherAIP
dc.relation.ispartofAIP Conference Proceedings
dc.titleNumerical Studies on the Use of Enhanced Multivariance Product Representation as a Multiway Array Decomposer
dc.typeArticle
dspace.entity.typePublication

Dosyalar

Koleksiyonlar