eprintid: 10732
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/07/32
datestamp: 2023-11-09 16:37:20
lastmod: 2023-11-09 16:37:20
status_changed: 2023-11-09 16:32:05
type: article
metadata_visibility: show
creators_name: Karim, S.A.B.A.
title: Constrained data interpolation using C2 rational cubic spline
ispublished: pub
note: cited By 0
abstract: Constrained data interpolation is important in many sciences and engineering based disciplines. For instance, the robot path problem always can be considered as constrained data interpolation. Thus, this study the constrained data interpolation using C2 rational cubic spline with three parameters. The data dependent sufficient condition is derived on one parameter meanwhile the other two parameters can be used to modify the interpolating curve. The unknown first derivatives are calculated by solving tri-diagonal systems of linear equations through Thomas's algorithm. From all numerical results, it can be concluded that the proposed scheme research very well and on par with some established schemes. © Medwell Journals, 2018.
date: 2018
publisher: Medwell Journals
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057958261&doi=10.3923%2fjeasci.2018.10053.10058&partnerID=40&md5=f591a3f5b88b01538c400130a99efdf2
id_number: 10.3923/jeasci.2018.10053.10058
full_text_status: none
publication: Journal of Engineering and Applied Sciences
volume: 13
number: 23
pagerange: 10053-10058
refereed: TRUE
issn: 1816949X
citation:   Karim, S.A.B.A.  (2018) Constrained data interpolation using C2 rational cubic spline.  Journal of Engineering and Applied Sciences, 13 (23).  pp. 10053-10058.  ISSN 1816949X