A numerical scheme based on differential quadrature method for numerical simulation of nonlinear Klein-Gordon equation

被引:32
|
作者
Verma, Anjali [1 ]
Jiwari, Ram [1 ]
Kumar, Satish [1 ]
机构
[1] Thapar Univ, Sch Math & Comp Applicat, Patiala, Punjab, India
关键词
Differential quadrature method; Forward finite difference; Gauss-elimination method; Nonlinear Klein-Gordon equation; Quasi-linearization process; WAVE SOLUTIONS; SOLVE; DIRICHLET; ALGORITHM; SOLITONS;
D O I
10.1108/HFF-01-2013-0014
中图分类号
O414.1 [热力学];
学科分类号
摘要
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.
引用
收藏
页码:1390 / 1404
页数:15
相关论文
共 50 条
  • [1] Numerical solution of the nonlinear Klein-Gordon equation
    Rashidinia, J.
    Ghasemi, M.
    Jalilian, R.
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2010, 233 (08) : 1866 - 1878
  • [2] On the Numerical Solution of the Klein-Gordon Equation
    Bratsos, A. G.
    NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2009, 25 (04) : 939 - 951
  • [3] THE MESHLESS METHODS FOR NUMERICAL SOLUTION OF THE NONLINEAR KLEIN-GORDON EQUATION
    Rashidinia, J.
    Karmipour, Y.
    Nikan, O.
    TWMS JOURNAL OF APPLIED AND ENGINEERING MATHEMATICS, 2021, 11 (02): : 436 - 447
  • [4] ANALYSIS OF 4 NUMERICAL SCHEMES FOR A NONLINEAR KLEIN-GORDON EQUATION
    JIMENEZ, S
    VAZQUEZ, L
    APPLIED MATHEMATICS AND COMPUTATION, 1990, 35 (01) : 61 - 94
  • [5] A New Approach to Numerical Solution of Nonlinear Klein-Gordon Equation
    Bulbul, Berna
    Sezer, Mehmet
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [6] A numerical solution of the Klein-Gordon equation and convergence of the decomposition method
    Kaya, D
    El-Sayed, SM
    APPLIED MATHEMATICS AND COMPUTATION, 2004, 156 (02) : 341 - 353
  • [7] Numerical Solution of Linear Klein-Gordon Equation using FDAM Scheme
    Kasron, Noraini
    Suharto, Erni Suryani
    Deraman, Ros Fadilah
    Othman, Khairil Iskandar
    Nasir, Mohd Agos Salim
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EDUCATION, MATHEMATICS AND SCIENCE 2016 (ICEMS2016) IN CONJUNCTION WITH INTERNATIONAL POSTGRADUATE CONFERENCE ON SCIENCE AND MATHEMATICS 2016 (IPCSM2016), 2017, 1847
  • [8] An Energy Conserving Numerical Scheme for the Klein-Gordon Equation with Cubic Nonlinearity
    Alzaleq, Lewa
    Manoranjan, Valipuram
    FRACTAL AND FRACTIONAL, 2022, 6 (08)
  • [9] Numerical Solution of A Linear Klein-Gordon Equation
    Kasron, Noraini
    Nasir, Mohd Agos Salim
    Yasiran, Siti Salmah
    Othman, Khairil Iskandar
    2013 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND SYSTEM ENGINEERING (ICEESE), 2013, : 74 - 78
  • [10] Numerical Solution of Nonlinear Klein-Gordon Equation Using Polynomial Wavelets
    Rashidinia, Jalil
    Jokar, Mahmood
    INTELLIGENT MATHEMATICS II: APPLIED MATHEMATICS AND APPROXIMATION THEORY, 2016, 441 : 199 - 214