C 1 Cubic Trigonometric Spline with a Shape Parameter for Positive Shape Preservation

This paper presents a new construction of C 1 cubic trigonometric spline interpolation. Instead of repositioning control points, a shape parameter is introduced in the spline to control the shape and behaviour of the curves. The built basis functions fulfil all the geometric properties of the standa...

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Published in:Malaysian Journal of Mathematical Sciences
Main Author: Munir N.A.A.A.; Hadi N.A.; Nasir M.A.S.
Format: Article
Language:English
Published: Universiti Putra Malaysia 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129751543&partnerID=40&md5=996fb26f5249e20695ceb02c73015df0
id 2-s2.0-85129751543
spelling 2-s2.0-85129751543
Munir N.A.A.A.; Hadi N.A.; Nasir M.A.S.
C 1 Cubic Trigonometric Spline with a Shape Parameter for Positive Shape Preservation
2022
Malaysian Journal of Mathematical Sciences
16
1

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129751543&partnerID=40&md5=996fb26f5249e20695ceb02c73015df0
This paper presents a new construction of C 1 cubic trigonometric spline interpolation. Instead of repositioning control points, a shape parameter is introduced in the spline to control the shape and behaviour of the curves. The built basis functions fulfil all the geometric properties of the standard cubic Bezier curve, and the proof is included in this paper. Then, the interpolation of the spline is illustrated using suitable parameter values. Every curve segment comprises four successive control points with a cubic trigonometric spline that carries out all the curve properties. The result showed effective approximation since the developed C 1 cubic trigonometric spline produced a smooth and pleasant interpolating curve while preserving the positive data features. The flexibility of the developed spline is compared with the other two existing works: b-spline and bezier-like curves. The analysis shows that the proposed spline gives greater flexibility since it has a broader parameter value range. Therefore, this helps the spline interpolation build opened and closed curves, as incorporated in the paper. © 2022. All Rights Reserved.
Universiti Putra Malaysia
18238343
English
Article

author Munir N.A.A.A.; Hadi N.A.; Nasir M.A.S.
spellingShingle Munir N.A.A.A.; Hadi N.A.; Nasir M.A.S.
C 1 Cubic Trigonometric Spline with a Shape Parameter for Positive Shape Preservation
author_facet Munir N.A.A.A.; Hadi N.A.; Nasir M.A.S.
author_sort Munir N.A.A.A.; Hadi N.A.; Nasir M.A.S.
title C 1 Cubic Trigonometric Spline with a Shape Parameter for Positive Shape Preservation
title_short C 1 Cubic Trigonometric Spline with a Shape Parameter for Positive Shape Preservation
title_full C 1 Cubic Trigonometric Spline with a Shape Parameter for Positive Shape Preservation
title_fullStr C 1 Cubic Trigonometric Spline with a Shape Parameter for Positive Shape Preservation
title_full_unstemmed C 1 Cubic Trigonometric Spline with a Shape Parameter for Positive Shape Preservation
title_sort C 1 Cubic Trigonometric Spline with a Shape Parameter for Positive Shape Preservation
publishDate 2022
container_title Malaysian Journal of Mathematical Sciences
container_volume 16
container_issue 1
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129751543&partnerID=40&md5=996fb26f5249e20695ceb02c73015df0
description This paper presents a new construction of C 1 cubic trigonometric spline interpolation. Instead of repositioning control points, a shape parameter is introduced in the spline to control the shape and behaviour of the curves. The built basis functions fulfil all the geometric properties of the standard cubic Bezier curve, and the proof is included in this paper. Then, the interpolation of the spline is illustrated using suitable parameter values. Every curve segment comprises four successive control points with a cubic trigonometric spline that carries out all the curve properties. The result showed effective approximation since the developed C 1 cubic trigonometric spline produced a smooth and pleasant interpolating curve while preserving the positive data features. The flexibility of the developed spline is compared with the other two existing works: b-spline and bezier-like curves. The analysis shows that the proposed spline gives greater flexibility since it has a broader parameter value range. Therefore, this helps the spline interpolation build opened and closed curves, as incorporated in the paper. © 2022. All Rights Reserved.
publisher Universiti Putra Malaysia
issn 18238343
language English
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