IJAPM 2017 Vol.7(2): 128-133 ISSN: 2010-362X
doi: 10.17706/ijapm.2017.7.2.128-133
doi: 10.17706/ijapm.2017.7.2.128-133
L0 Stable Trigonometrically Fitted Block Backward Differentiation Formula of Adams Type for Autonomous Oscillatory Problems
Solomon A. Okunuga and R. I. Abdulganiy
Abstract—In this paper, a L0 Stable Second Derivative Trigonometrically Fitted Block Backward
Differentiation Formula of Adams Type (SDTFF) of algebraic order 4 is presented for the solution of
autonomous oscillatory problems. A Continuous Second Derivative Trigonometrically Fitted (CSDTF) whose
coefficients depend on the frequency and step size is constructed using trigonometric basis function. The
CSDTF is used to generate the main method and one additional method which are combined and applied in
block form as simultaneous numerical integrators. The stability properties of the method are investigated
using boundary locus plot. It is found that the method is zero stable, consistent and hence converges. The
method is applied on some numerical examples and the result show that the method is accurate and
efficient.
Index Terms—Autonomous oscillatory problems, backward differentiation formula, continuous scheme, trigonometrically fitted methods.
The authors are with Department of Mathematics, University of Lagos, Lagos, Nigeria (email: waleokunuga@gmail.com).
Index Terms—Autonomous oscillatory problems, backward differentiation formula, continuous scheme, trigonometrically fitted methods.
The authors are with Department of Mathematics, University of Lagos, Lagos, Nigeria (email: waleokunuga@gmail.com).
Cite: Solomon A. Okunuga and R. I. Abdulganiy, "L0 Stable Trigonometrically Fitted Block Backward Differentiation Formula of Adams Type for Autonomous Oscillatory Problems," International Journal of Applied Physics and Mathematics vol. 7, no. 2, pp. 128-133, 2017.
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General Information
ISSN: 2010-362X (Online)
Abbreviated Title: Int. J. Appl. Phys. Math.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/IJAPM
Editor-in-Chief: Prof. Haydar Akca
Abstracting/ Indexing: INSPEC(IET), CNKI, Google Scholar, EBSCO, Chemical Abstracts Services (CAS), etc.
E-mail: editor@ijapm.org
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