Journals / Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :B-Teorik Bilimler / 2018 / Cilt: 6 - Sayı: 1

MESHLESS METHOD BASED ON RADIAL BASIS FUNCTIONS FOR GENERAL ROSENAU KdV-RLW EQUATION

Pages
45–54
Publication Date
2022-10-12
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

At the end of this paper, obtained results show the validity and applicability of the numerical method.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the present study, the meshfree RBFs collocation method is used to find the approximate solutions of the general RosenauKdV-RLW equation.
📊
Key Findings & Data:Also, to examine the accuracy of the used numerical method𝐿2 and 𝐿∞ norms are evaluated.
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Conclusion & Impact:At the end of this paper, obtained results show the validity and applicability of the numerical method.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In the present study, the meshfree RBFs collocation method is used to find the approximate solutions of the general RosenauKdV-RLW equation. Firstly, Crank Nicolson method and forward finite difference approximation method is applied for solvingthe equation. One of the linearization techniques, which is called Rubin graves linearization, is applied for the approximatesolution of the equation. Secondly, the numerical values of physical invariants of the motions for the equation are evaluatedfor studying known fundamental physical conservative properties. Also, to examine the accuracy of the used numerical method𝐿2 and 𝐿∞ norms are evaluated. The stability analysis for the numerical technique is tested. It is seen that the method isunconditionally stable. At the end of this paper, obtained results show the validity and applicability of the numerical method.

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Cite This Article

DERELİ, Y., KARAMAN, B. (2022). MESHLESS METHOD BASED ON RADIAL BASIS FUNCTIONS FOR GENERAL ROSENAU KdV-RLW EQUATION. Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :B-Teorik Bilimler, Cilt: 6 - Sayı: 1, 45–54. https://ajindex.com/articles/438549

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References (16)

  1. Mittal RC, Jain RK. Numerical solution of general Rosenau-RLW equation using quintic B-splines collocation method. Communications in Numerical Analysis, 2012
  2. Zuo JM, Zhang YM, Zhang TD, Chang F. A new conservative difference scheme for the general Rosenau-RLW equation. Boundary Value Problems, 2010
  3. Wongsaijai B, Poochinapan K, Disyadej T. A compact finite difference method for solving the general Rosenau-RLW equation. IAENG International Journal of Applied Mathematics, 2014
  4. Pan X, Zhang L. Numerical simulation for general Rosenau-RLW equation: an averaged linearized conservative scheme. Mathematical Problems in Engineering, 2012
  5. Esfahani A. Solitary wave solutions for generalized Rosenau-KdV equation. Communications in Theoretical Physics, 2011; 55: 396-398
  6. Zheng M, Zhou J. An average linear difference scheme for the generalized Rosenau-KdV equation. Journal of Applied Mathematics, 2014
  7. Luo Y, Xu Y, Feng M. Conservative difference scheme for Generalized Rosenau-KdV equation. Advances in Mathematical Physics, 2014
  8. Kansa EJ. Multiquadrics - A scattered data approximation scheme with applications to computational fluid dynamics I. Computers and Mathematics with Applications 1990; 19: 127-145
  9. Kansa EJ. Multiquadrics - A scattered data approximation scheme with applications to computational fluid dynamics II. Computers and Mathematics with Applications 1990; 19: 147- 161
  10. Franke C, Schaback R. Convergence order estimates of meshless collocation methods using radial basis functions. Advances in Computational Mathematics 1998; 8: 381-399
  11. Micchelli CA. Interpolation of scattered data: distance matrix and conditionally positive definite functions. Constructive Approximation 1986; 2: 11-22
  12. Dağ İ, Dereli Y. Numerical solution of RLW equation using radial basis functions. International Journal of Computer Mathematics 2010; 87: 63-76
  13. Franke C, Schaback R. Solving partial differential equations by collocation using radial basis functions. Applied Mathematics and Computation 1998; 93: 73-82
  14. Sarler B. A radial basis function collocation approach in computational fluid dynamics. CMES: Computer Modeling in Engineering and Sciences 2005; 7: 185-193
  15. Korkmaz B, Dereli Y. Numerical solution of the Rosenau-KdV-RLW equation by using RBFs collocation method. International Journal of Modern Physic C 2016; 27
  16. Rubin SG, Graves RA. Cubic spline approximation for problems in fluid mechanics. NASA TR R4