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Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values
Joint Authors
Yan, Tianshun
Zhao, Yanyong
Su, Liyun
Li, Fenglan
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Su, Liyun& Yan, Tianshun& Zhao, Yanyong& Li, Fenglan. 2012. Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values. Discrete Dynamics in Nature and Society،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-454005
Modern Language Association (MLA)
Su, Liyun…[et al.]. Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values. Discrete Dynamics in Nature and Society No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-454005
American Medical Association (AMA)
Su, Liyun& Yan, Tianshun& Zhao, Yanyong& Li, Fenglan. Local Polynomial Regression Solution for Partial Differential Equations with Initial and Boundary Values. Discrete Dynamics in Nature and Society. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-454005
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-454005