An Improved Collocation Approach of Euler Polynomials Connected with Bernoulli Ones for Solving Predator-Prey Models with Time Lag

Joint Authors

Basirat, Behrooz
Elahi, Hamid Reza

Source

International Journal of Differential Equations

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-04-01

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Mathematics

Abstract EN

This paper deals with an approach to obtaining the numerical solution of the Lotka–Volterra predator-prey models with discrete delay using Euler polynomials connected with Bernoulli ones.

By using the Euler polynomials connected with Bernoulli ones and collocation points, this method transforms the predator-prey model into a matrix equation.

The main characteristic of this approach is that it reduces the predator-prey model to a system of algebraic equations, which greatly simplifies the problem.

For these models, the explicit formula determining the stability and the direction is given.

Numerical examples illustrate the reliability and efficiency of the proposed scheme.

American Psychological Association (APA)

Basirat, Behrooz& Elahi, Hamid Reza. 2020. An Improved Collocation Approach of Euler Polynomials Connected with Bernoulli Ones for Solving Predator-Prey Models with Time Lag. International Journal of Differential Equations،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1169975

Modern Language Association (MLA)

Basirat, Behrooz& Elahi, Hamid Reza. An Improved Collocation Approach of Euler Polynomials Connected with Bernoulli Ones for Solving Predator-Prey Models with Time Lag. International Journal of Differential Equations No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1169975

American Medical Association (AMA)

Basirat, Behrooz& Elahi, Hamid Reza. An Improved Collocation Approach of Euler Polynomials Connected with Bernoulli Ones for Solving Predator-Prey Models with Time Lag. International Journal of Differential Equations. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1169975

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1169975