Fast predictor-corrector approach for the tempered fractional differential equations

2016 ◽  
Vol 74 (3) ◽  
pp. 717-754 ◽  
Author(s):  
Jingwei Deng ◽  
Lijing Zhao ◽  
Yujiang Wu
2021 ◽  
Vol 96 (12) ◽  
pp. 125213
Author(s):  
Zaid Odibat ◽  
Vedat Suat Erturk ◽  
Pushpendra Kumar ◽  
V Govindaraj

Author(s):  
Hua Kong ◽  
Guo-Cheng Wu ◽  
Hui Fu ◽  
Kai-Teng Wu

Abstract A new class of fractional differential equations with exponential memory was recently defined in the space A C δ n [ a , b ] $A{C}_{\delta }^{n}\left[a,b\right]$ . In order to use the famous predictor–corrector method, a new quasi-linear interpolation with a non-equidistant partition is suggested in this study. New Euler and Adams–Moulton methods are proposed for the fractional integral equation. Error estimates of the generalized fractional integral and numerical solutions are provided. The predictor–corrector method for the new fractional differential equation is developed and numerical solutions of fractional nonlinear relaxation equation are given. It can be concluded that the non-equidistant partition is needed for non-standard fractional differential equations.


Author(s):  
Mohammad Javidi ◽  
Mahdi Saedshoar Heris ◽  
Bashir Ahmad

In this paper, we develop two algorithms for solving linear and nonlinear fractional differential equations involving Caputo derivative. For designing new predictor–corrector (PC) schemes, we select the mesh points based on the two equal-height and equal-area distribution. Furthermore, the error bounds of PC schemes with uniform and equidistributing meshes are obtained. Finally, examples are constructed for illustrating the obtained PC schemes with uniform and equidistributing meshes. A comparative study is also presented.


Sign in / Sign up

Export Citation Format

Share Document