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

Joint Authors

Yan, Tianshun
Zhao, Yanyong
Su, Liyun
Li, Fenglan

Source

Mathematical Problems in Engineering

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-05-20

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Civil Engineering

Abstract EN

Numerical solutions of the linear differential boundary issues are obtained by using a local polynomial estimator method with kernel smoothing.

To achieve this, a combination of a local polynomial-based method and its differential form has been used.

The computed results with the use of this technique have been compared with the exact solution and other existing methods to show the required accuracy of it.

The effectiveness of this method is verified by three illustrative examples.

The presented method is seen to be a very reliable alternative method to some existing techniques for such realistic problems.

Numerical results show that the solution of this method is more accurate than that of other methods.

American Psychological Association (APA)

Su, Liyun& Yan, Tianshun& Zhao, Yanyong& Li, Fenglan. 2013. Local Polynomial Regression Solution for Differential Equations with Initial and Boundary Values. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1009744

Modern Language Association (MLA)

Su, Liyun…[et al.]. Local Polynomial Regression Solution for Differential Equations with Initial and Boundary Values. Mathematical Problems in Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-1009744

American Medical Association (AMA)

Su, Liyun& Yan, Tianshun& Zhao, Yanyong& Li, Fenglan. Local Polynomial Regression Solution for Differential Equations with Initial and Boundary Values. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1009744

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1009744