Numerical Solution of Nonlinear Fredholm Integral Equations Using Half-Sweep Newton-PKSOR Iteration

This paper is concerned with producing an efficient numerical method to solve nonlinear Fredholm integral equations using Half-Sweep Newton-PKSOR (HSNPKSOR) iteration. The computation of numerical methods in solving nonlinear equations usually requires immense amounts of computational complexity. By...

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Main Authors: Labiyana Hanif Ali, Jumat Sulaiman, Azali Saudi, Ming, Xu Ming
Format: Article
Language:English
English
Published: Horizon Research Publishing 2022
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Online Access:https://eprints.ums.edu.my/id/eprint/34859/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/34859/2/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/34859/
https://www.hrpub.org/download/20220730/MS18-13426639.pdf
https://doi.org/10.13189/ms.2022.100418
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spelling my.ums.eprints.348592022-11-16T01:14:44Z https://eprints.ums.edu.my/id/eprint/34859/ Numerical Solution of Nonlinear Fredholm Integral Equations Using Half-Sweep Newton-PKSOR Iteration Labiyana Hanif Ali Jumat Sulaiman Azali Saudi Ming, Xu Ming QA299.6-433 Analysis This paper is concerned with producing an efficient numerical method to solve nonlinear Fredholm integral equations using Half-Sweep Newton-PKSOR (HSNPKSOR) iteration. The computation of numerical methods in solving nonlinear equations usually requires immense amounts of computational complexity. By implementing a Half-Sweep approach, the complexity of the calculation is tried to be reduced to produce a more efficient method. For this purpose, the steps of the solution process are discussed beginning with the derivation of nonlinear Fredholm integral equations using a quadrature scheme to get the half-sweep approximation equation. Then, the generated approximation equation is used to develop a nonlinear system. Following that, the formulation of the HSNPKSOR iterative method is constructed to solve nonlinear Fredholm integral equations. To verify the performance of the proposed method, the experimental results were compared with the Full-Sweep Newton-KSOR (FSNKSOR), Half-Sweep Newton-KSOR (HSNKSOR), and Full-Sweep Newton-PKSOR (FSNPKSOR) using three parameters: number of iteration, iteration time, and maximum absolute error. Several examples are used in this study to illustrate the efficiency of the tested methods. Based on the numerical experiment, the results appear that the HSNPKSOR method is effective in solving nonlinear Fredholm integral equations mainly in terms of iteration time compared to rest tested methods. Horizon Research Publishing 2022 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/34859/1/FULL%20TEXT.pdf text en https://eprints.ums.edu.my/id/eprint/34859/2/ABSTRACT.pdf Labiyana Hanif Ali and Jumat Sulaiman and Azali Saudi and Ming, Xu Ming (2022) Numerical Solution of Nonlinear Fredholm Integral Equations Using Half-Sweep Newton-PKSOR Iteration. Mathematics and Statistics, 10 (4). pp. 868-874. ISSN 2332-2071 https://www.hrpub.org/download/20220730/MS18-13426639.pdf https://doi.org/10.13189/ms.2022.100418
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QA299.6-433 Analysis
spellingShingle QA299.6-433 Analysis
Labiyana Hanif Ali
Jumat Sulaiman
Azali Saudi
Ming, Xu Ming
Numerical Solution of Nonlinear Fredholm Integral Equations Using Half-Sweep Newton-PKSOR Iteration
description This paper is concerned with producing an efficient numerical method to solve nonlinear Fredholm integral equations using Half-Sweep Newton-PKSOR (HSNPKSOR) iteration. The computation of numerical methods in solving nonlinear equations usually requires immense amounts of computational complexity. By implementing a Half-Sweep approach, the complexity of the calculation is tried to be reduced to produce a more efficient method. For this purpose, the steps of the solution process are discussed beginning with the derivation of nonlinear Fredholm integral equations using a quadrature scheme to get the half-sweep approximation equation. Then, the generated approximation equation is used to develop a nonlinear system. Following that, the formulation of the HSNPKSOR iterative method is constructed to solve nonlinear Fredholm integral equations. To verify the performance of the proposed method, the experimental results were compared with the Full-Sweep Newton-KSOR (FSNKSOR), Half-Sweep Newton-KSOR (HSNKSOR), and Full-Sweep Newton-PKSOR (FSNPKSOR) using three parameters: number of iteration, iteration time, and maximum absolute error. Several examples are used in this study to illustrate the efficiency of the tested methods. Based on the numerical experiment, the results appear that the HSNPKSOR method is effective in solving nonlinear Fredholm integral equations mainly in terms of iteration time compared to rest tested methods.
format Article
author Labiyana Hanif Ali
Jumat Sulaiman
Azali Saudi
Ming, Xu Ming
author_facet Labiyana Hanif Ali
Jumat Sulaiman
Azali Saudi
Ming, Xu Ming
author_sort Labiyana Hanif Ali
title Numerical Solution of Nonlinear Fredholm Integral Equations Using Half-Sweep Newton-PKSOR Iteration
title_short Numerical Solution of Nonlinear Fredholm Integral Equations Using Half-Sweep Newton-PKSOR Iteration
title_full Numerical Solution of Nonlinear Fredholm Integral Equations Using Half-Sweep Newton-PKSOR Iteration
title_fullStr Numerical Solution of Nonlinear Fredholm Integral Equations Using Half-Sweep Newton-PKSOR Iteration
title_full_unstemmed Numerical Solution of Nonlinear Fredholm Integral Equations Using Half-Sweep Newton-PKSOR Iteration
title_sort numerical solution of nonlinear fredholm integral equations using half-sweep newton-pksor iteration
publisher Horizon Research Publishing
publishDate 2022
url https://eprints.ums.edu.my/id/eprint/34859/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/34859/2/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/34859/
https://www.hrpub.org/download/20220730/MS18-13426639.pdf
https://doi.org/10.13189/ms.2022.100418
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score 13.15806