wavelet series
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Author(s):  
Mo Faheem ◽  
Akmal Raza ◽  
Arshad Khan

Abstract In this paper, we proposed wavelet based collocation methods for solving neutral delay differential equations. We use Legendre wavelet, Hermite wavelet, Chebyshev wavelet and Laguerre wavelet to solve the neutral delay differential equations numerically. We solved five linear and one nonlinear problem to demonstrate the accuracy of wavelet series solution. Wavelet series solution converges fast and gives more accurate results in comparison to other methods present in literature. We compare our results with Runge–Kutta-type methods by Wang et al. (Stability of continuous Runge–Kutta-type methods for nonlinear neutral delay-differential equations,” Appl. Math. Model, vol. 33, no. 8, pp. 3319–3329, 2009) and one-leg θ methods by Wang et al. (Stability of one-leg θ method for nonlinear neutral differential equations with proportional delay,” Appl. Math. Comput., vol. 213, no. 1, pp. 177–183, 2009) and observe that our results are more accurate.


2021 ◽  
Vol 15 ◽  
pp. 3
Author(s):  
V.F. Babenko ◽  
G.S. Zhiganova

We obtain sharp inequalities of Jackson type for the best approximations of functions in $L_2(\mathbb{R}^m)$ by means of partial sums of wavelet series in case of multidimensional analogues of Shannon-Kotelnikov wavelets.


2020 ◽  
Vol 66 (9) ◽  
pp. 5866-5874
Author(s):  
Juan Miguel Medina ◽  
Fernando Ruben Dobarro ◽  
Bruno Cernuschi-Frias
Keyword(s):  

Stochastics ◽  
2019 ◽  
Vol 92 (1) ◽  
pp. 1-23
Author(s):  
Antoine Ayache ◽  
Narn-Rueih Shieh ◽  
Yimin Xiao

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