An application of variational iteration method for solving fuzzy time-fractional diffusion equations

被引:17
|
作者
Kumar, Saurabh [1 ]
Gupta, Vikas [1 ]
机构
[1] LNM Inst Informat Technol, Ctr Math & Financial Comp, Dept Math, Jaipur 302031, Rajasthan, India
来源
NEURAL COMPUTING & APPLICATIONS | 2021年 / 33卷 / 24期
关键词
Caputo fractional derivative; Fuzzy numbers; Fuzzy time-fractional diffusion equation; Variational iteration method; DIFFERENTIAL-EQUATIONS; CALCULUS; INTEGRATION;
D O I
10.1007/s00521-021-06354-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, an approximate solution based on the variational iteration method is given to solve the fuzzy time-fractional diffusion equations. The time-fractional derivative is taken in the Caputo sense. In the variational iteration method, the solution appears as a convergent series with easily predictable terms. In this approach, the correctional functional is constructed and the Lagrange multiplier is identified optimally via variational theory. Some examples are also given to illustrate the performance and applicability of the proposed method for the discussed class of fuzzy time-fractional diffusion equations. To demonstrate the efficiency of the variational iteration method, comparisons have been made with the numerical solution obtained by the implicit finite difference scheme that exists in the literature. The proposed iterative algorithm is quite simple to use and does not require any discretization, transformation, or restrictive assumptions. Also, tabulated results show that the proposed algorithm gives better accuracy than the implicit finite difference scheme.
引用
收藏
页码:17659 / 17668
页数:10
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