Rational quadratic Bézier curve fitting by simulated annealing technique

Rational quadratic Bézier curve fitting by simulated annealing technique

A metaheuristic algorithm, which is an approximation method called simulated annealing is implemented in order to have the best rational quadratic Bézier curve from a given data points. This technique is used to minimize sum squared errors in order to improve the middle control point position and th...

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Bibliographic Details
Main Authors: Najihah, Mohamed, Ahmad, Abd Majid, Abd Rahni, Mt Piah
Format: Conference or Workshop Item
Language:English
Published: AIP Publishing LLC 2013
Subjects:
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/20056/
http://umpir.ump.edu.my/id/eprint/20056/
http://umpir.ump.edu.my/id/eprint/20056/1/SKSM20_NM.pdf
id ump-20056
recordtype eprints
spelling ump-200562018-06-06T03:40:13Z http://umpir.ump.edu.my/id/eprint/20056/ Rational quadratic Bézier curve fitting by simulated annealing technique Najihah, Mohamed Ahmad, Abd Majid Abd Rahni, Mt Piah QA Mathematics A metaheuristic algorithm, which is an approximation method called simulated annealing is implemented in order to have the best rational quadratic Bézier curve from a given data points. This technique is used to minimize sum squared errors in order to improve the middle control point position and the value of weight. As a result, best fitted rational quadratic Bézier curve and its mathematical function that represents all the given data points is obtained. Numerical and graphical examples are also presented to demonstrate the effectiveness and robustness of the proposed method. AIP Publishing LLC 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/20056/1/SKSM20_NM.pdf Najihah, Mohamed and Ahmad, Abd Majid and Abd Rahni, Mt Piah (2013) Rational quadratic Bézier curve fitting by simulated annealing technique. In: 20th National Symposium on Mathematical Sciences - Research in Mathematical Sciences: A Catalyst for Creativity and Innovation, SKSM 2012, 18-20 December 2012 , Putrajaya; Malaysia. pp. 844-851., 1522. ISSN 0094243X ISBN 978-073541150-0 https://www.researchgate.net/profile/Najihah_Mohamed/publication/258740192_Rational_Quadratic_Bezier_Curve_Fitting_by_Simulated_Annealing_Technique/links/5948b57da6fdcc70635a3943/Rational-Quadratic-Bezier-Curve-Fitting-by-Simulated-Annealing-Technique.pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA Mathematics
spellingShingle QA Mathematics
Najihah, Mohamed
Ahmad, Abd Majid
Abd Rahni, Mt Piah
Rational quadratic Bézier curve fitting by simulated annealing technique
description A metaheuristic algorithm, which is an approximation method called simulated annealing is implemented in order to have the best rational quadratic Bézier curve from a given data points. This technique is used to minimize sum squared errors in order to improve the middle control point position and the value of weight. As a result, best fitted rational quadratic Bézier curve and its mathematical function that represents all the given data points is obtained. Numerical and graphical examples are also presented to demonstrate the effectiveness and robustness of the proposed method.
format Conference or Workshop Item
author Najihah, Mohamed
Ahmad, Abd Majid
Abd Rahni, Mt Piah
author_facet Najihah, Mohamed
Ahmad, Abd Majid
Abd Rahni, Mt Piah
author_sort Najihah, Mohamed
title Rational quadratic Bézier curve fitting by simulated annealing technique
title_short Rational quadratic Bézier curve fitting by simulated annealing technique
title_full Rational quadratic Bézier curve fitting by simulated annealing technique
title_fullStr Rational quadratic Bézier curve fitting by simulated annealing technique
title_full_unstemmed Rational quadratic Bézier curve fitting by simulated annealing technique
title_sort rational quadratic bézier curve fitting by simulated annealing technique
publisher AIP Publishing LLC
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/20056/
http://umpir.ump.edu.my/id/eprint/20056/
http://umpir.ump.edu.my/id/eprint/20056/1/SKSM20_NM.pdf
first_indexed 2023-09-18T22:28:43Z
last_indexed 2023-09-18T22:28:43Z
_version_ 1777416141604388864

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