Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values

Local polynomial regression (LPR) is applied to solve the partial differential equations (PDEs). Usually, the solutions of the problems are separation of variables and eigenfunction expansion methods, so we are rarely able to find analytical solutions. Consequently, we must try to find numerical sol...

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Main Authors: Liyun Su, Tianshun Yan, Yanyong Zhao, Fenglan Li
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2012/201678
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author Liyun Su
Tianshun Yan
Yanyong Zhao
Fenglan Li
author_facet Liyun Su
Tianshun Yan
Yanyong Zhao
Fenglan Li
author_sort Liyun Su
collection DOAJ
description Local polynomial regression (LPR) is applied to solve the partial differential equations (PDEs). Usually, the solutions of the problems are separation of variables and eigenfunction expansion methods, so we are rarely able to find analytical solutions. Consequently, we must try to find numerical solutions. In this paper, two test problems are considered for the numerical illustration of the method. Comparisons are made between the exact solutions and the results of the LPR. The results of applying this theory to the PDEs reveal that LPR method possesses very high accuracy, adaptability, and efficiency; more importantly, numerical illustrations indicate that the new method is much more efficient than B-splines and AGE methods derived for the same purpose.
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publishDate 2012-01-01
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series Discrete Dynamics in Nature and Society
spelling doaj-art-2facb6abc0ae4f449dbf5c89d9872ebf2025-08-20T02:08:10ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2012-01-01201210.1155/2012/201678201678Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary ValuesLiyun Su0Tianshun Yan1Yanyong Zhao2Fenglan Li3School of Mathematics and Statistics, Chongqing University of Technology, Chongqing 400054, ChinaSchool of Mathematics and Statistics, Chongqing University of Technology, Chongqing 400054, ChinaSchool of Mathematics and Statistics, Chongqing University of Technology, Chongqing 400054, ChinaInstitute of Library, Chongqing University of Technology, Chongqing 400054, ChinaLocal polynomial regression (LPR) is applied to solve the partial differential equations (PDEs). Usually, the solutions of the problems are separation of variables and eigenfunction expansion methods, so we are rarely able to find analytical solutions. Consequently, we must try to find numerical solutions. In this paper, two test problems are considered for the numerical illustration of the method. Comparisons are made between the exact solutions and the results of the LPR. The results of applying this theory to the PDEs reveal that LPR method possesses very high accuracy, adaptability, and efficiency; more importantly, numerical illustrations indicate that the new method is much more efficient than B-splines and AGE methods derived for the same purpose.http://dx.doi.org/10.1155/2012/201678
spellingShingle Liyun Su
Tianshun Yan
Yanyong Zhao
Fenglan Li
Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values
Discrete Dynamics in Nature and Society
title Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values
title_full Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values
title_fullStr Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values
title_full_unstemmed Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values
title_short Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values
title_sort local polynomial regression solution for partial differential equations with initial and boundary values
url http://dx.doi.org/10.1155/2012/201678
work_keys_str_mv AT liyunsu localpolynomialregressionsolutionforpartialdifferentialequationswithinitialandboundaryvalues
AT tianshunyan localpolynomialregressionsolutionforpartialdifferentialequationswithinitialandboundaryvalues
AT yanyongzhao localpolynomialregressionsolutionforpartialdifferentialequationswithinitialandboundaryvalues
AT fenglanli localpolynomialregressionsolutionforpartialdifferentialequationswithinitialandboundaryvalues