Some Comparison of Solutions by Different Numerical Techniques on Mathematical Biology Problem

Joint Authors

Mondal, Sankar Prasad
Paul, Susmita
Bhattacharya, Paritosh
Chaudhuri, Kripasindhu

Source

International Journal of Differential Equations

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-12-07

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Mathematics

Abstract EN

We try to compare the solutions by some numerical techniques when we apply the methods on some mathematical biology problems.

The Runge-Kutta-Fehlberg (RKF) method is a promising method to give an approximate solution of nonlinear ordinary differential equation systems, such as a model for insect population, one-species Lotka-Volterra model.

The technique is described and illustrated by numerical examples.

We modify the population models by taking the Holling type III functional response and intraspecific competition term and hence we solve it by this numerical technique and show that RKF method gives good results.

We try to compare this method with the Laplace Adomian Decomposition Method (LADM) and with the exact solutions.

American Psychological Association (APA)

Paul, Susmita& Mondal, Sankar Prasad& Bhattacharya, Paritosh& Chaudhuri, Kripasindhu. 2016. Some Comparison of Solutions by Different Numerical Techniques on Mathematical Biology Problem. International Journal of Differential Equations،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1105716

Modern Language Association (MLA)

Paul, Susmita…[et al.]. Some Comparison of Solutions by Different Numerical Techniques on Mathematical Biology Problem. International Journal of Differential Equations No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1105716

American Medical Association (AMA)

Paul, Susmita& Mondal, Sankar Prasad& Bhattacharya, Paritosh& Chaudhuri, Kripasindhu. Some Comparison of Solutions by Different Numerical Techniques on Mathematical Biology Problem. International Journal of Differential Equations. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1105716

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1105716