High-order exponentially fitted and trigonometrically fitted explicit two-derivative Runge–Kutta-type methods for solving third-order oscillatory problems

Author(s):  
Khai Chien Lee ◽  
Norazak Senu ◽  
Ali Ahmadian ◽  
Siti Nur Iqmal Ibrahim
2021 ◽  
pp. 2150419
Author(s):  
Ming Zhong ◽  
Qi-Jun Yang ◽  
Shou-Fu Tian

In this work, we focus on the modified high-order Haar wavelet numerical method, which introduces the third-order Runge–Kutta method in the time layer to improve the original numerical format. We apply the above scheme to two types of strong nonlinear solitary wave differential equations named as the generalized Burgers–Fisher equation and the generalized Burgers–Huxley equation. Numerical experiments verify the correctness of the scheme, which improves the speed of convergence while ensuring stability. We also compare the CPU time, and conclude that our scheme has high efficiency. Compared with the traditional wavelets method, the numerical results reflect the superiority of our format.


2010 ◽  
Vol 181 (12) ◽  
pp. 2044-2056 ◽  
Author(s):  
M. Calvo ◽  
J.M. Franco ◽  
J.I. Montijano ◽  
L. Rández

Author(s):  
Athanasios Donas ◽  
Ioannis Famelis ◽  
Peter C Chu ◽  
George Galanis

The aim of this paper is to present an application of high-order numerical analysis methods to a simulation system that models the movement of a cylindrical-shaped object (mine, projectile, etc.) in a marine environment and in general in fluids with important applications in Naval operations. More specifically, an alternative methodology is proposed for the dynamics of the Navy’s three-dimensional mine impact burial prediction model, Impact35/vortex, based on the Dormand–Prince Runge–Kutta fifth-order and the singly diagonally implicit Runge–Kutta fifth-order methods. The main aim is to improve the time efficiency of the system, while keeping the deviation levels of the final results, derived from the standard and the proposed methodology, low.


1997 ◽  
Vol 65 (3-4) ◽  
pp. 273-291 ◽  
Author(s):  
G. Papageorgiou ◽  
Ch. Tsitouras
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document