A numerical scheme based on differential quadrature method for numerical simulation of nonlinear Klein-Gordon equation. Issue 7 (26th August 2014)

• Record Type: Journal Article
• Authors: Verma, Anjali; Jiwari, Ram; Kumar, Satish
• Is Part Of: International journal of numerical methods for heat & fluid flow. Volume 24:Issue 7(2014)
• Page Start: 1390
• Page End: 1404
• Publication Date: 2014-08-26
• Subjects: Differential quadrature method -- Forward finite difference -- Gauss-elimination method -- Nonlinear Klein-Gordon equation -- Quasi-linearization process; Heat -- Transmission -- Mathematics -- Periodicals; Fluid dynamics -- Mathematics -- Periodicals; 536.2
• DOI: 10.1108/HFF-01-2013-0014
• Languages: English
• ISSNs: 0961-5539

Abstract

Abstract : Purpose: – The purpose of this paper is to propose a numerical scheme based on forward finite difference, quasi-linearisation process and polynomial differential quadrature method to find the numerical solutions of nonlinear Klein-Gordon equation with Dirichlet and Neumann boundary condition. Design/methodology/approach: – In first step, time derivative is discretised by forward difference method. Then, quasi-linearisation process is used to tackle the non-linearity in the equation. Finally, fully discretisation by differential quadrature method (DQM) leads to a system of linear equations which is solved by Gauss-elimination method. Findings: – The accuracy of the proposed method is demonstrated by several test examples. The numerical results are found to be in good agreement with the exact solutions and the numerical solutions exist in literature. The proposed scheme can be expended for multidimensional problems. Originality/value: – The main advantage of the present scheme is that the scheme gives very accurate and similar results to the exact solutions by choosing less number of grid points. Secondly, the scheme gives better accuracy than (Dehghan and Shokri, 2009; Pekmen and Tezer-Sezgin, 2012) by choosing less number of grid points and big time step length. Also, the scheme can be extended for multidimensional problems.