Numerical Solution of a Class of Predator-Prey Systems with Complex Dynamics Characters Based on a Sinc Function Interpolation Collocation Method

Joint Authors

Wang, Yulan
Du, Mingjing
Ning, Pengfei

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-34, 34 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-03-23

Country of Publication

Egypt

No. of Pages

34

Main Subjects

Philosophy

Abstract EN

Although many kinds of numerical methods have been announced for the predator-prey system, simple and efficient methods have always been the direction that scholars strive to pursue.

Based on this problem, in this paper, a new interpolation collocation method is proposed for a class of predator-prey systems with complex dynamics characters.

Some complex dynamics characters and pattern formations are shown by using this new approach, and the results have a good agreement with theoretical results.

Simulation results show the effectiveness of the method.

American Psychological Association (APA)

Du, Mingjing& Ning, Pengfei& Wang, Yulan. 2020. Numerical Solution of a Class of Predator-Prey Systems with Complex Dynamics Characters Based on a Sinc Function Interpolation Collocation Method. Complexity،Vol. 2020, no. 2020, pp.1-34.
https://search.emarefa.net/detail/BIM-1142420

Modern Language Association (MLA)

Du, Mingjing…[et al.]. Numerical Solution of a Class of Predator-Prey Systems with Complex Dynamics Characters Based on a Sinc Function Interpolation Collocation Method. Complexity No. 2020 (2020), pp.1-34.
https://search.emarefa.net/detail/BIM-1142420

American Medical Association (AMA)

Du, Mingjing& Ning, Pengfei& Wang, Yulan. Numerical Solution of a Class of Predator-Prey Systems with Complex Dynamics Characters Based on a Sinc Function Interpolation Collocation Method. Complexity. 2020. Vol. 2020, no. 2020, pp.1-34.
https://search.emarefa.net/detail/BIM-1142420

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1142420