10.71932/

Numerical Solution of the First-Order Evolution Equations by Radial Basis Function

  1. Department of Mathematics, Islamic Azad University, Qazvin Branch, Qazvin, Iran.

Published in Issue 13-07-2025

How to Cite

Hosseini, S. (2025). Numerical Solution of the First-Order Evolution Equations by Radial Basis Function. International Journal of Mathematical Modelling & Computations, 8(01). https://doi.org/10.71932/

Abstract

In this work, we consider the nonlinear first-order evolution equations: ut = f(x; t; u; ux; uxx) for 0 < t < 1, subject to initial condition u(x; 0) = g(x), where u is a function of x and t and f is a known analytic function. The purpose of this paper is to introduce the method of RBF to existing method in solving nonlinear first-order evolution equations and also the method is implemented in four numerical examples. The results reveal that the technique is very effective and simple. 

Keywords

  • First-order evolution equations,
  • Radial basis function,
  • Newton’s method,
  • Nonlinear equations

References

  1. [1] M. Abramowitz and I. A. Stegun, Handbook of mathematical functions, Dover, NewYork, (1965).
  2. [2] G. Adomian, Stochastic systems, Academic Press Inc., New York, (1983).
  3. [3] M. D. Buhmann, Radial basis function, Cambridge monographs on Applied and Computational
  4. Mathmatics, (2004).
  5. [4] Fast RBF toolbox matlab manual, version 1.4, 4th August, (2004).
  6. [5] C. Franke and R. Schaback, Convergence order estimates of meshless collocation methods using
  7. radial basis functions, Advances in Computational Mathematics, 8 (1998), 381−399.
  8. [6] Ji-H. He, A new approach to nonlinear partial differential equations, Commun. Nonlinear Sci. Numer.
  9. Simul, 2 (1997) 230−235.
  10. [7] Ji-H. He, Variational iteration method - a kind of non-linear analytical technique: some examples,
  11. Int. J. Non-Linear Mech, 34 (1999) 699−708.
  12. [8] Ji-H. He, Some asymptotic methods for strongly nonlinear equations, Int. J. Modern Phys, 20 (2006)
  13. 1141−1191.
  14. [9] Y. C. Hon, A RBFs method for solving options pricing model, Proceedings of Advances in Scientific
  15. Computing and Modeling, Alicante, Spain, (1998) 210−230.
  16. [10] E. J. Kansa, Multiquadrics - a scattered data approximation scheme with applications to computational fluid-dynamics-II, Computers and Mathematics with Applications, 19 (1990), 147−161.
  17. [11] E. J. Kansa and Y. C. Hon, Circumventing the ill-conditioining problem with multiquadric radial
  18. basis functions: applications to elliptic partial differential equations, Computers and Mathematics
  19. with Applications, 39 (2000), 123−137.
  20. [12] J. Kevorkian, and J. D. Cole, Multiple scale and singular perturbation methods, Springer-Varlag,
  21. New York, (1996).
  22. [13] C. T. Mouat and R. K. Beatson, RBF collocation, Department of mathematics and statistics, university of canterbury, Private Bag 4800, Christchurch, NewZealand, (2002).
  23. [14] J. I. Ramos, On The Variational iteration method and other iterative techniques for nonlinear
  24. differential equation, Appl. Math. Comput, 199 (2008) 39−69.
  25. [15] M. Reed and B. Simon, Methods of modern mathematical physics, I: Functional Analysis, Academemic Press, New York, (1980).