2021
DOI: 10.1016/j.apnum.2021.05.017
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Fractional-order Boubaker wavelets method for solving fractional Riccati differential equations

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Cited by 18 publications
(10 citation statements)
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“…Similarly to [46], it is noted that the convergence of the our method can be reduced to the convergence of the function approximation occurring in Equations () and () and the integration occurring in Equation (), which are given in Theorem 5.1 and 5.2, respectively.…”
Section: Error Analysismentioning
confidence: 99%
“…Similarly to [46], it is noted that the convergence of the our method can be reduced to the convergence of the function approximation occurring in Equations () and () and the integration occurring in Equation (), which are given in Theorem 5.1 and 5.2, respectively.…”
Section: Error Analysismentioning
confidence: 99%
“…Due to the tremendous difficulty of finding exact solutions for many types of FDEs, many researchers have been interested in obtaining analytical and numerical solutions for such problems. Some of them are the finite difference (Hendy et al (2021)), predictor-corrector (Kumar and Gejji (2019)), wavelet operational matrix (Yi and Huang ( 2014)), Galerkin-Legendre spectral (Zaky et al (2020)), fractional-order Boubaker wavelets (Rabiei and Razzaghi (2021)), fractional Jacobi collocation (Abdelkawy et al (2020)) and artificial neural network (Pakdaman et al 2017) methods. Because of the globality of fractional calculus, it is preferable to use global numerical techniques to solve FDEs of various types.…”
Section: Introductionmentioning
confidence: 99%
“…Many researchers worked on several wavelets for the solutions of fractional differential equations. Some of these wavelets include Haar wavelets (Saeed and Rehman, 2013), Chebyshev wavelets (Saeed and Saeed, 2019; Heydari et al ., 2022), Gegenbauer wavelets (Saeed et al ., 2021; Rehman and Saeed, 2015), Sine–Cosine wavelets (Idrees and Saeed, 2022), CAS wavelets (Yousefi and banifatemi, 2006; Saeed, 2017), Boubaker wavelets (Rabiei and Razzaghi, 2021), Taylor wavelets (Toan et al ., 2021), Chebyshev cardinal wavelets (Heydari and Razzaghi, 2023), Chelyshkov wavelet (Ngo et al ., 2023), etc.…”
Section: Introductionmentioning
confidence: 99%