A kind of generalized backward differentiation formulae for solving fractional differential equations

Jingjun Zhao, Xingzhou Jiang and Yang Xu

Applied Mathematics and Computation, 2022, vol. 419, issue C

Abstract: A new kind of numerical method based on generalized backward differentiation formulae is established for solving fractional differential equations. An estimate of the inverse of a class of Toeplitz matrix, which is related to the method, is given. By using the estimate, convergence and stability of the method are analyzed. It is shown that the method has high order of convergence and good stability. Some numerical experiments are also given to illustrate the effectiveness of the method.

Keywords: Fractional ordinary differential equation; Generalized backward differentiation formulae; Convergence; Stability (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:419:y:2022:i:c:s0096300321009553

DOI: 10.1016/j.amc.2021.126872

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