Abstract
This paper develops an efficient numerical meshless method to solve the nonlinear generalized Burgers–Huxley equation (NGB-HE). The proposed method approximates the unknown solution in the two stages. First, the \(\theta\)-weighted finite difference technique is adopted to discretize the temporal dimension. Second, a combination of the multiquadric quasi-interpolation and pseudospectral (denoted by MQQI-PS) is constructed to approximate the spatial derivatives. In addition, a cross-validation technique is used to find the shape parameter value. Finally, numerical results are illustrated to show the accuracy and efficiency of the MQQI-PS method.
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Wang, X.Y., Zhu, Z.S., Lu, Y.K.: Solitary wave solutions of the generalised Burgers-Huxley equation. J. Phys. A 23(3), 271–274 (1990)
FitzHugh, R.: Mathematical models of excitation and propagation in nerve. In: Biological Engineering. Schwan, H.P.(eds), New York: McGraw Hill (1969)
Bratsos, A.G.: A fourth-order numerical scheme for solving the modified Burgers equation. Comput. Math. Appl. 60(5), 1393–1400 (2010)
Çelik, I.: Haar Wavelet method for solving generalized Burgers-Huxley equation. Arab J. Math. Sci. 18(1), 25–37 (2012)
Javidi, M., Golbabai, A.: A new domain decomposition algorithm for generalized Burger’s-Huxley equation based on Chebyshev polynomials and preconditioning. Chaos Solitons Fractals 39(2), 849–857 (2009)
Dehghan, M., Saray, B.N., Lakestani, M.: Three methods based on the interpolation scaling functions and the mixed collocation finite difference schemes for the numerical solution of the nonlinear generalized Burgers-Huxley equation. Math. Comput. Model. 55(3–4), 1129–1142 (2012)
Mohammadi, R.: B-spline collocation algorithm for numerical solution of the generalized Burger’s-Huxley equation. Numer. Methods Partial Differ. Equ. 29(4), 1173–1191 (2013)
Mohan, M.T., Khan, A.: On the generalized Burgers-Huxley equation: Existence, uniqueness, regularity, global attractors and numerical studies. Discrete Contin. Dyn. Syst. Ser. B 26(7), 3943–3988 (2021)
Zhong, M., Yang, Q.J., Tian, S.F.: The modified high-order Haar wavelet scheme with Runge-Kutta method in the generalized Burgers-Fisher equation and the generalized Burgers-Huxley equation. Mod. Phy. Lett. B. 35(24), 2150419 (2021)
Çiçek, Y., Korkut, S.: Numerical solution of generalized Burgers-Huxley equation by Lie-Trotter splitting method. Numer. Anal. Appl. 14(1), 90–102 (2021)
Wang, K.J.: Variational principle and approximate solution for the generalized Burgers-Huxley equation with fractal derivative. Fractals. 29(2), 2150044 (2021)
Shukla, S., Kumar, M.: Error analysis and numerical solution of Burgers-Huxley equation using 3-scale Haar wavelets. Eng. Comput. (2020). https://doi.org/10.1007/s00366-020-01037-4
Alinia, N., Zarebnia, M.: A numerical algorithm based on a new kind of tension B-spline function for solving Burgers-Huxley equation. Numer. Algorithms 82(4), 1121–1142 (2019)
Abbasbandy, S., Ghehsareh, H.R., Hashim, I.: Numerical analysis of a mathematical model for capillary formation in tumor angiogenesis using a meshfree method based on the radial basis function. Eng. Anal. Bound. Elem. 36(12), 1811–1818 (2012)
Abbasbandy, S., Azarnavid, B., Hashim, I., Alsaedi, A.: Approximation of backward heat conduction problem using Gaussian radial basis functions. U.P.B. Sci. Bull., Series A. 76(4), 67–76 (2014)
Chen, W., Fu, Z.J., Chen, C.S.: Recent advances in radial basis function collocation methods. Springer, Berlin (2014)
Kansa, E.J., Aldredge, R.C., Ling, L.: Numerical simulation of two-dimensional combustion using mesh-free methods. Eng. Anal. Bound. Elem. 33(7), 940–950 (2009)
Assari, P., Dehghan, M.: A meshless local discrete Galerkin (MLDG) scheme for numerically solving two-dimensional nonlinear Volterra integral equations. Appl. Math. Comput. 350, 249–265 (2019)
Assari, P.: Thin plate spline Galerkin scheme for numerically solving nonlinear weakly singular Fredholm integral equations. Appl. Anal. 98(11), 2064–2084 (2019). https://doi.org/10.1080/00036811.2018.1448073
Assari, P., Dehghan, M.: Solving a class of nonlinear boundary integral equations based on the meshless local discrete Galerkin (MLDG) method. Appl. Numer. Math. 123, 137–158 (2018)
Assari, P.: The numerical solution of Fredholm-Hammerstein integral equations by combining the collocation method and radial basis functions. Filomat 33(3), 667–682 (2019)
Xiao, M.L., Wang, R.H., Zhu, C.G.: Applying multiquadric quasi-interpolation to solve KdV equation. J. Math. Res. Expo. 31(2), 191–201 (2011)
Nikan, O., Avazzadeh, Z., Machado, J.T.: Numerical approximation of the nonlinear time-fractional telegraph equation arising in neutron transport. Commun. Nonlinear Sci. Numer. Simul. 99, 105755 (2021)
Powell, M.J.D.: Univariate multiquadric approximation: Reproduction of linear polynomials. In: Multivariate Approximation and Interpolation. Haussman, W. and Jetter, K.(eds), Birkhäuser Verlag, Basel (1990)
Beatson, R.K., Powell, M.J.D.: Univariate multiquadric approximation: Quasi-interpolation to scattered data. Constr. Approx. 8, 275–288 (1992). https://doi.org/10.1007/BF01279020
Wu, Z., Schaback, R.: Shape preserving properties and convergence of univariate multiquadric quasi-interpolation. ACTA Math. Appl. Sinica. 10(4), 441–446 (1994)
Jiang, Z.W., Wang, R.H., Zhu, C.G., Xu, M.: High accuracy multiquadric quasi-interpolation. Appl. Math. Model. 35(5), 2185–2195 (2011)
Singh, B.K., Arora, G., Singh, M.K.: A numerical scheme for the generalized Burgers-Huxley equation. J. Egyptian Math. Soc. 24(4), 629–637 (2016)
El-Kady, M., El-Sayed, S.M., Fathy, H.E.: Development of Galerkin method for solving the generalized Burger’s–Huxley equation. Math. Probl. Eng. 2013 (2013). 10.1155/2013/165492
Hardy, R.L.: Multiquadric equations of topography and other irregular surfaces. J. Geophys. Res. 176, 1905–1915 (1971). https://doi.org/10.1029/JB076i008p01905
Madych, W.R., Nelson, S.A.: Multivariate interpolation and conditionally positive definite functions. II. Math. Comp. 54, 211–230 (1990)
Sarboland, M., Aminataei, A.: On the numerical solution of one-dimensional nonlinear nonhomogeneous Burgers’ equation. J. Appl. Math. 2014 (2014). 10.1155/2014/598432
Rashidinia, J., Ghasemi, M., Jalilian, R.: Numerical solution of the nonlinear Klein-Gordon equation. J. Comput. Appl. Math. 233(8), 1866–1878 (2010)
Fasshauer, G.E.: RBF collocation methods as Pseudospectral methods. In: Kassab, A., Brebbia, C.A., Divo, E., Poljak, D. (eds.) Boundary elements XXVII, pp. 47–56. WIT Press, Southampton (2005)
Wendland, H.: Scattered data approximation. Cambridge University Press, Cambridge, UK (2005)
Schaback, R.: Convergence of unsymmetric kernel-based meshless collocation methods. SIAM J. Numer. Anal. 45(1), 333–351 (2007)
Emamjomeh, M., Abbasbandy, S., Rostamy, D.: Quasi interpolation of radial basis functions-pseudospectral method for solving nonlinear Klein–Gordon and sine-Gordon equations. Iranian J. Numer. Anal. Optim. 10(1), 81–106 (2020). 10.22067/IJNAO.V10I1.75129
Twizell, E.H.: Computational methods for partial differential equations. Ellis Horwood Limited, Chichester (1984)
Islam, S., Haq, S., Uddin, M.: A meshfree interpolation method for the numerical solution of the coupled nonlinear partial differential equations. Eng. Anal. Boundary Elem. 33(3), 399–409 (2009)
Lee, M.B., Yoon, J.: Sampling inequalities for infinitely smooth radial basis functions and its application to error estimates. Appl. Math. Lett
Fasshauer, G.E., Zhang, J.G.: On choosing optimal shape parameters for RBF approximation. Numer. Alg. 45, 345–368 (2007). https://doi.org/10.1007/s11075-007-9072-8
Rippa, S.: An algorithm for selecting a good value for the parameter c in radial basis function interpolation. Adv. Comput. Math. 11, 193–210 (1999). https://doi.org/10.1023/A:1018975909870
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Rahimi, M., Adibi, H. & Amirfakhrian, M. Numerical study of nonlinear generalized Burgers–Huxley equation by multiquadric quasi-interpolation and pseudospectral method. Math Sci 17, 431–444 (2023). https://doi.org/10.1007/s40096-022-00461-5
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DOI: https://doi.org/10.1007/s40096-022-00461-5