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A quadratic trigonometric spline for curve modeling
An imperative curve modeling technique has been established with a view to its applications in various disciplines of science, engineering and design. It is a new spline method using piecewise quadratic trigonometric functions. It possesses error bounds of order 3. The proposed curve model also owns...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328157/ https://www.ncbi.nlm.nih.gov/pubmed/30629600 http://dx.doi.org/10.1371/journal.pone.0208015 |
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author | Samreen, Shamaila Sarfraz, Muhammad Hussain, Malik Zawwar |
author_facet | Samreen, Shamaila Sarfraz, Muhammad Hussain, Malik Zawwar |
author_sort | Samreen, Shamaila |
collection | PubMed |
description | An imperative curve modeling technique has been established with a view to its applications in various disciplines of science, engineering and design. It is a new spline method using piecewise quadratic trigonometric functions. It possesses error bounds of order 3. The proposed curve model also owns the most favorable geometric properties. The proposed spline method accomplishes C(2) smoothness and produces a Quadratic Trigonometric Spline (QTS) with the view to its applications in curve design and control. It produces a C(2) quadratic trigonometric alternative to the traditional cubic polynomial spline (CPS) because of having four control points in its piecewise description. The comparison analysis of QTS and CPS verifies the QTS as better alternate to CPS. Also, the time analysis proves QTS computationally efficient than CPS. |
format | Online Article Text |
id | pubmed-6328157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63281572019-02-01 A quadratic trigonometric spline for curve modeling Samreen, Shamaila Sarfraz, Muhammad Hussain, Malik Zawwar PLoS One Research Article An imperative curve modeling technique has been established with a view to its applications in various disciplines of science, engineering and design. It is a new spline method using piecewise quadratic trigonometric functions. It possesses error bounds of order 3. The proposed curve model also owns the most favorable geometric properties. The proposed spline method accomplishes C(2) smoothness and produces a Quadratic Trigonometric Spline (QTS) with the view to its applications in curve design and control. It produces a C(2) quadratic trigonometric alternative to the traditional cubic polynomial spline (CPS) because of having four control points in its piecewise description. The comparison analysis of QTS and CPS verifies the QTS as better alternate to CPS. Also, the time analysis proves QTS computationally efficient than CPS. Public Library of Science 2019-01-10 /pmc/articles/PMC6328157/ /pubmed/30629600 http://dx.doi.org/10.1371/journal.pone.0208015 Text en © 2019 Samreen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Samreen, Shamaila Sarfraz, Muhammad Hussain, Malik Zawwar A quadratic trigonometric spline for curve modeling |
title | A quadratic trigonometric spline for curve modeling |
title_full | A quadratic trigonometric spline for curve modeling |
title_fullStr | A quadratic trigonometric spline for curve modeling |
title_full_unstemmed | A quadratic trigonometric spline for curve modeling |
title_short | A quadratic trigonometric spline for curve modeling |
title_sort | quadratic trigonometric spline for curve modeling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328157/ https://www.ncbi.nlm.nih.gov/pubmed/30629600 http://dx.doi.org/10.1371/journal.pone.0208015 |
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