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Numerical Solutions of Hantavirus Infection Model by Means of the Bernstein Polynomials

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4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2022)

Abstract

A collocation method is presented for solving the Hantavirus infection model in this study. The method is based on the Bernstein polynomials. Firstly, the Bernstein polynomials are written in matrix form. Next, the assumed solutions for Hantavirus infection model are written in matrix forms. Also, the nonlinear terms in the model, the derivatives of the solution forms and initial conditions are written in matrix forms. Then, the model problem is transformed into a system of nonlinear algebraic equations by using the collocation points and these matrix forms. Moreover, an error estimation technique is offered and then the residual improvement technique is given. The proposed method is applied for different values of N by selecting the parameters \(\alpha =1,\beta =0.5,\gamma =20,\delta =0.1,\eta =10,\theta =10\) in the model. Application results are presented in table and graphs. Moreover, a comparison is made with the result of another method in the literature.

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References

  1. Abramson, G., Kenkre, V.M.: Spatiotemporal patterns in the Hantavirus infection. Phys. Rev. E 66, 011912 (2002)

    Article  Google Scholar 

  2. Abramson, G., Kenkre, V.M., Yates, T.L., Parmenter, R.R.: Traveling waves of infection in the hantavirus epidemics. Bull. Math. Biol. 65, 519–534 (2003)

    Article  MATH  Google Scholar 

  3. Allen, L.J., Langlais, M., Phillips, C.J.: The dynamics of two viral infections in a single host population with applications to hantavirus. Math. Biosci. 186, 191–217 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  4. Allen, L.J., McCormack, R.K., Jonsson, C.B.: Mathematical models for hantavirus infection in rodents. Bull. Math. Biol. 68, 511–524 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  5. Aydin, T.A., Sezer, M., Kocayigit, H.: Bernsteinn polynomials approach to determine timelike curves of constant breadth in Minkowski 3-space. Commun. Math. Model. Appl. 3, 9–22 (2018)

    Google Scholar 

  6. Barbera, E., Curro, C., Valenti, G.: A hyperbolic reaction-diffusion model for the hantavirus infection. Math. Methods Appl. Sci. 31, 481–499 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  7. Bildik, N., Deniz, S.: Implementation of Taylor collocation and Adomian decomposition method for systems of ordinary differential equations. In: AIP Conference Proceedings, vol. 1648, p. 370002 (2015)

    Google Scholar 

  8. D’Ambrosio, R., Ferro, M., Jackiewicz, Z., Paternoster, B.: Two-step almost collocation methods for ordinary differential equations. Numer. Algorithms 53, 195–217 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  9. Goh, S.M., Ismail, A.I.M., Noorani, M.S.M., Hashim, I.: Dynamics of the Hantavirus infection through variational iteration method. Nonlinear Anal. Real World Appl. 10, 2171–2176 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  10. Gökdoğan, A., Merdan, M., Yildirim, A.: A multistage differential transformation method for approximate solution of Hantavirus infection model. Commun. Nonlinear Sci. Numer. Simul. 17, 1–8 (2012)

    Article  MathSciNet  Google Scholar 

  11. Guo, B.Y.,Wang, Z.Q.: A spectral collocation method for solving initial value problems of first order ordinary differential equations. Discrete Contin. Dyn. Syst.-B 14, 1029 (2010)

    Google Scholar 

  12. Işik, O.R., Güney, Z., Sezer, M.: Bernstein series solutions of pantograph equations using polynomial interpolation. J. Differ. Equ. Appl. 18, 357–374 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  13. Işik O. R., Sezer, M.: Bernstein series solution of a class of Lane-Emden type equations. Math. Probl. Eng. 2013 (2013)

    Google Scholar 

  14. Işik, O.R., Sezer, M., Güney, Z.: A rational approximation based on Bernstein polynomials for high order initial and boundary values problems. Appl. Math. Comput. 217, 9438–9450 (2011)

    MathSciNet  MATH  Google Scholar 

  15. Işik, O.R., Sezer, M., Güney, Z.: Bernstein series solution of a class of linear integro-differential equations with weakly singular kernel. Appl. Math. Comput. 217, 7009–7020 (2011)

    MathSciNet  MATH  Google Scholar 

  16. Işik, O.R., Sezer, M., Güney, Z.: Bernstein series solution of linear second-order partial differential equations with mixed conditions. Math. Methods Appl. Sci. 37, 609–619 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  17. Sezer, M., Gülsu, M., Tanay, B.: Rational Chebyshev collocation method for solving higher-order linear ordinary differential equations. Numer. Methods Partial Differ. Equ. 27, 1130–1142 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  18. Wang, B., Meng, F., Fang, Y.: Efficient implementation of RKN-type Fourier collocation methods for second-order differential equations. Appl. Numer. Math. 119, 164–178 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  19. Wang, Z.Q., Guo, B.Y.: Legendre-Gauss-Radau collocation method for solving initial value problems of first order ordinary differential equations. J. Sci. Comput. 52, 226–255 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  20. Wu, X., Wang, B.: Exponential Fourier collocation methods for first-order differential equations. In: Recent Developments in Structure-Preserving Algorithms for Oscillatory Differential Equations, pp. 55–84. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-9004-2_3

    Chapter  MATH  Google Scholar 

  21. Yap, L. K., Ismail, F., Senu, N.: An accurate block hybrid collocation method for third order ordinary differential equations. J. Appl. Math. 2014 (2014)

    Google Scholar 

  22. Yüzbaşı, Ş: A collocation method based on Bernstein polynomials to solve nonlinear Fredholm-Volterra integro-differential equations. Appl. Math. Comput. 273, 142–154 (2016)

    MathSciNet  MATH  Google Scholar 

  23. Yüzbaşi, Ş, Sezer, M.: An exponential matrix method for numerical solutions of Hantavirus infection model. Appl. Appl. Math. Int. J. (AAM) 8, 98–115 (2013)

    MATH  Google Scholar 

  24. Yüzbaşı, Ş, Sezer, M.: An exponential matrix method for solving systems of linear differential equations. Math. Methods Appl. Sci. 36, 336–348 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  25. Yüzbaşı, Ş: Numerical solutions of fractional Riccati type differential equations by means of the Bernstein polynomials. Appl. Math. Comput. 219, 6328–6343 (2013)

    MathSciNet  MATH  Google Scholar 

  26. Yüzbaşı, Ş, Yıldırım, G.: A Laguerre approach for solving of the systems of linear differential equations and residual improvement. Comput. Methods Differ. Equ. 9, 553–576 (2021)

    MathSciNet  MATH  Google Scholar 

  27. Yüzbaşı, Ş, Yıldırım, G.: Laguerre collocation method for solutions of systems of first order linear differential equations. Turk. J. Math. Comput. Sci. 10, 222–241 (2018)

    Google Scholar 

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Yüzbaşı, Ş., Yıldırım, G. (2023). Numerical Solutions of Hantavirus Infection Model by Means of the Bernstein Polynomials. In: Hemanth, D.J., Yigit, T., Kose, U., Guvenc, U. (eds) 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering. ICAIAME 2022. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-031-31956-3_19

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