Publication:
Taylor Series Remainder's Kernel Evaluation in Tridiagonal Enhanced Multivariance Products Representation (TKEMPR) Perspective<bold> </bold>

Simple item page
dc.contributor.authorsGurvit, Ercan; Okan, Ayla; Baykara, N. A.
dc.contributor.editorSivasundaram, S
dc.date.accessioned2022-03-12T16:23:51Z
dc.date.accessioned2026-01-11T17:46:32Z
dc.date.available2022-03-12T16:23:51Z
dc.date.issued2018
dc.description.abstractThe intended work uses the TKEMPR method which decomposes a linear integral operator on univariate functions by using high dimensional modelling with the basic idea to use repeated bivariate Enhanced Multivariance Products Representation (EMPR) technique which is called Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR). It uses EMPR bivariate function decomposition consecutively such that in each step the remainder term is expanded to again a bivariate EMPR but with different support functions.<bold> </bold>
dc.identifier.doi10.1063/1.5081558
dc.identifier.isbn978-0-7354-1772-4
dc.identifier.issn0094-243X
dc.identifier.urihttps://hdl.handle.net/11424/226091
dc.identifier.wosWOS:000468353100038
dc.language.isoeng
dc.publisherAMER INST PHYSICS
dc.relation.ispartofICNPAA 2018 WORLD CONGRESS: 12TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES
dc.relation.ispartofseriesAIP Conference Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleTaylor Series Remainder's Kernel Evaluation in Tridiagonal Enhanced Multivariance Products Representation (TKEMPR) Perspective<bold> </bold>
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.titleICNPAA 2018 WORLD CONGRESS: 12TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES
oaire.citation.volume2046

Files

Collections

Araştırma Çıktıları