A New Method for Riccati Differential Equations Based on Reproducing Kernel and Quasilinearization Methods

Joint Authors

Li, Xiuming
Geng, F. Z.

Source

Abstract and Applied Analysis

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-03-13

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Mathematics

Abstract EN

We introduce a new method for solving Riccati differential equations, which is based on reproducing kernel method and quasilinearization technique.

The quasilinearization technique is used to reduce the Riccati differential equation to a sequence of linear problems.

The resulting sets of differential equations are treated by using reproducing kernel method.

The solutions of Riccati differential equations obtained using many existing methods give good approximations only in the neighborhood of the initial position.

However, the solutions obtained using the present method give good approximations in a larger interval, rather than a local vicinity of the initial position.

Numerical results compared with other methods show that the method is simple and effective.

American Psychological Association (APA)

Geng, F. Z.& Li, Xiuming. 2012. A New Method for Riccati Differential Equations Based on Reproducing Kernel and Quasilinearization Methods. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-484326

Modern Language Association (MLA)

Geng, F. Z.& Li, Xiuming. A New Method for Riccati Differential Equations Based on Reproducing Kernel and Quasilinearization Methods. Abstract and Applied Analysis No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-484326

American Medical Association (AMA)

Geng, F. Z.& Li, Xiuming. A New Method for Riccati Differential Equations Based on Reproducing Kernel and Quasilinearization Methods. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-484326

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-484326