2019
DOI: 10.31614/cmes.2019.04575
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Solving the Nonlinear Variable Order Fractional Differential Equations by Using Euler Wavelets

Abstract: An Euler wavelets method is proposed to solve a class of nonlinear variable order fractional differential equations in this paper. The properties of Euler wavelets and their operational matrix together with a family of piecewise functions are first presented. Then they are utilized to reduce the problem to the solution of a nonlinear system of algebraic equations. And the convergence of the Euler wavelets basis is given. The method is computationally attractive and some numerical examples are provided to illus… Show more

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Cited by 5 publications
(4 citation statements)
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“…Using (20), (21) in (19), we have ๐ถ๐œ’(๐‘ก) โˆ’ ๐œŒ(๐ถ๐‘ƒ ๐œ‡ ๐œ’(๐‘ก) + 66 โˆ’ 32) = 0. (22) We can attain the coefficient vector ๐ถ by solving the equation (22) at ๐‘ก ๐‘– = (2๐‘–โˆ’1)๐‘‡…”
Section: K Balaji Ijmcr Volume 11 Issue 07 July 2023mentioning
confidence: 99%
See 1 more Smart Citation
“…Using (20), (21) in (19), we have ๐ถ๐œ’(๐‘ก) โˆ’ ๐œŒ(๐ถ๐‘ƒ ๐œ‡ ๐œ’(๐‘ก) + 66 โˆ’ 32) = 0. (22) We can attain the coefficient vector ๐ถ by solving the equation (22) at ๐‘ก ๐‘– = (2๐‘–โˆ’1)๐‘‡…”
Section: K Balaji Ijmcr Volume 11 Issue 07 July 2023mentioning
confidence: 99%
“…Recently, orthogonal wavelets have become more popular numerical techniques for solving differential and integral equations due to their excellent properties. Many researchers have employed the operational matrices of fractional integrations of Chebyshev wavelets [3], Haar wavelets [9], Mรผntz-Legendre wavelets [13], Bernoulli wavelets [12], Legendre wavelets [14,15,20], Taylor wavelets [19], Second kind Chebyshev wavelets [21] and Euler wavelets [22] to find the approximate solutions of arbitrary order differential and integral equations.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, it is necessitating the use of numerical approaches to comprehend the results of solutions to linear and nonlinear problems. There are a number of numerical approaches that have been presented to date, like: "Polynomial methods" [8][9][10], "Lagrange multipliers technique" [11], "collocation method" [12], "Galerkin finite element method" [13], "wavelet methods" [14], and another method using "artificial neural network" [15].…”
Section: Introductionmentioning
confidence: 99%
“…However, the same complex modelling feature renders finding the analytical solutions to those FDEs very difficult, and therefore it is crucial to have accurate numerical solutions. In recent years, certain numerical methods have been used for FDEs, such as spectral method [15], Galerkin method [16], Homotopy analysis method [17], Jacobi Tau method [18], waveform relaxation method [19], fractional finite difference method [20], Adomian decomposition method [21,22], Fourier transform [23], power series method [24], B-spline collocation method [25], block-by-block method [26], variational iteration method [27], polynomial methods [28][29][30][31][32] and wavelet methods [33][34][35][36][37][38][39]. Wavelets are mathematical functions that can be used to decompose data into various time-frequency components.…”
Section: Introductionmentioning
confidence: 99%