Accelerated Runge-Kutta Methods

Joint Authors

Udwadia, Firdaus E.
Farahani, Artin

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-38, 38 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2008-09-16

Country of Publication

Egypt

No. of Pages

38

Main Subjects

Mathematics

Abstract EN

Standard Runge-Kutta methods are explicit, one-step, and generally constant step-size numerical integrators for the solution of initial value problems.

Such integration schemes of orders 3, 4, and 5 require 3, 4, and 6 function evaluations per time step of integration, respectively.

In this paper, we propose a set of simple, explicit, and constant step-size Accerelated-Runge-Kutta methods that are two-step in nature.

For orders 3, 4, and 5, they require only 2, 3, and 5 function evaluations per time step, respectively.

Therefore, they are more computationally efficient at achieving the same order of local accuracy.

We present here the derivation and optimization of these accelerated integration methods.

We include the proof of convergence and stability under certain conditions as well as stability regions for finite step sizes.

Several numerical examples are provided to illustrate the accuracy, stability, and efficiency of the proposed methods in comparison with standard Runge-Kutta methods.

American Psychological Association (APA)

Udwadia, Firdaus E.& Farahani, Artin. 2008. Accelerated Runge-Kutta Methods. Discrete Dynamics in Nature and Society،Vol. 2008, no. 2008, pp.1-38.
https://search.emarefa.net/detail/BIM-498314

Modern Language Association (MLA)

Udwadia, Firdaus E.& Farahani, Artin. Accelerated Runge-Kutta Methods. Discrete Dynamics in Nature and Society No. 2008 (2008), pp.1-38.
https://search.emarefa.net/detail/BIM-498314

American Medical Association (AMA)

Udwadia, Firdaus E.& Farahani, Artin. Accelerated Runge-Kutta Methods. Discrete Dynamics in Nature and Society. 2008. Vol. 2008, no. 2008, pp.1-38.
https://search.emarefa.net/detail/BIM-498314

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-498314