Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Russian Journal of Numerical Analysis and Mathematical Modelling

Editor-in-Chief: Dymnikov, Valentin P. / Kuznetsov, Yuri

Managing Editor: Vassilevski, Yuri V.

Editorial Board: Agoshkov, Valeri I. / Amosov, Andrey A. / Kaporin, Igor E. / Kobelkov, Georgy M. / Mikhailov, Gennady A. / Repin, Sergey I. / Shaidurov, Vladimir V. / Shokin, Yuri I. / Tyrtyshnikov, Eugene E.

6 Issues per year


IMPACT FACTOR 2016: 0.597
5-year IMPACT FACTOR: 0.611

CiteScore 2017: 0.71

SCImago Journal Rank (SJR) 2017: 0.302
Source Normalized Impact per Paper (SNIP) 2017: 0.929

Mathematical Citation Quotient (MCQ) 2016: 0.16

Online
ISSN
1569-3988
See all formats and pricing
More options …
Volume 24, Issue 2

Issues

Automatic error control in the Gauss-type nested implicit Runge–Kutta formula of order 6

G. Yu. Kulikov
  • *School of Computational and Applied Mathematics, University of the Witwatersrand, Private Bag 3, Wits 2050, Johannesburg, South Africa
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2009-04-16 | DOI: https://doi.org/10.1515/RJNAMM.2009.009

Abstract

Five different error estimation strategies suitable for the Gauss-type Nested Implicit Runge–Kutta method of order 4 have been presented and tested numerically in [Kulikov and Shindin, Lecture Notes in Computer Science: 136–143, 2007, Kulikov and Shindin, Appl. Numer. Math. 59: 707–722, 2009]. The nested Implicit Runge–Kutta schemes introduced recently are an efficient class of Implicit Runge–Kutta formulas. In this paper we deal with the methods of order 6. One scheme of such sort has been constructed in [Kulikov and Shindin, Appl. Numer. Math. 59: 707–722, 2009]. Now we present a one-parametric family of the above-mentioned formulas of order 6 by relaxing the accuracy requirement for some stage values. This allows the error estimation strategies designed for the method of order 4 to be extended to the higher-order Gauss-type Nested Implicit Runge–Kutta method. We also present the particulars of the efficient implementation of this method, which is stable and accurate. The numerical examples confirm the efficiency of the numerical scheme under consideration for both ordinary differential equations and partial differential equations.

About the article

Published Online: 2009-04-16

Published in Print: 2009-04-01


Citation Information: Russian Journal of Numerical Analysis and Mathematical Modelling, Volume 24, Issue 2, Pages 123–144, ISSN (Online) 1569-3988, ISSN (Print) 0927-6467, DOI: https://doi.org/10.1515/RJNAMM.2009.009.

Export Citation

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

[1]
Gennady Yu. Kulikov and Maria V. Kulikova
European Journal of Control, 2015, Volume 21, Page 14
[2]
G. Yu. Kulikov, E. B. Kuznetsov, and E. Yu. Khrustaleva
Numerical Analysis and Applications, 2011, Volume 4, Number 3, Page 199
[3]
G. Yu. Kulikov and E. Yu. Khrustaleva
Computational Mathematics and Mathematical Physics, 2010, Volume 50, Number 6, Page 1006

Comments (0)

Please log in or register to comment.
Log in