176
Views
1
CrossRef citations to date
0
Altmetric
Section B

Asymptotic stability of general linear methods for systems of linear neutral delay differential-algebraic equations

, &
Pages 816-835 | Received 16 Oct 2013, Accepted 05 Apr 2014, Published online: 12 May 2014
 

Abstract

This paper is concerned with numerical stability of general linear methods (GLMs) for a system of linear neutral delay differential-algebraic equations. A sufficient and necessary condition for asymptotic stability of GLMs solving such system is derived. Based on this main result, we further investigate the asymptotic stability of linear multistep methods, Runge–Kutta methods, and block θ-methods, respectively. Numerical experiments confirm our theoretical result.

2010 AMS Subject Classifications::

Acknowledgements

The authors are grateful to the referees for their helpful suggestions and valuable comments. The work of Q. Yu is supported by Doctoral Research Fund of Shanghai Ocean University. The work of H. Tian is supported in part by E-Institutes of Shanghai Municipal Education Commission (No. E03004), NSF of China (No. 11071170), Ministry of Education of China (No. 211058), Specialized Research Fund for the Doctoral Program of Higher Education (No. 20113127110003) and Shanghai Municipal Education Commission (No. 11ZZ118).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,129.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.