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Malaysian Journal of Fundamental and Applied Sciences
Article . 2025 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Two-Point Diagonally Implicit Fractional Block Backward Differentiation Formula for Solving Fractional Differential Equations

Authors: Yip Lian Yiung; Siti Ainor Mohd Yatim;

Two-Point Diagonally Implicit Fractional Block Backward Differentiation Formula for Solving Fractional Differential Equations

Abstract

This paper presents the development of two-point diagonally implicit fractional block backward differentiation formula of order two with constant step size (2DIFBBDF(2)) for solving the fractional differential equations (FDEs). The method is derived based on the concept of fractional linear multistep method and the classical diagonally block backward differentiation formula (BBDF) method. Convergence and stability analyses of the method are also discussed. This method is proved to be A-stable for values of fractional order between 0.7 and 1.0. Next, numerical examples in the form of linear, non-linear and system of FDEs are presented to demonstrate the method's reliability and efficiency. The results obtained are compared with the existing methods whereas 2DIFBBDF(2) method outperforms the others in terms of accuracy indicating that it is an appropriate method for solving FDEs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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