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On the convergence of Newton-like MS method with dynamics and applications

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Abstract

The motive of this work is to introduce and investigate the benefits and defects of a new three-step Newton-like iterative method to solve nonlinear operator equations in Banach space. We discussed the local and more importantly semi-local convergence analysis for the proposed method. Some numerical examples along with one boundary value problem are given to show that the speed of convergence of the proposed iterative method is faster than the modified Newton’s method and Sahu et al. method. Lastly, the dynamical analysis confirms the theoretical and numerical results, but reveals some drawback of this type of Newton-like S method.

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References

  1. Agarwal, R.P., O’Regan, D., Sahu, D.R.: Fixed Point Theory for Lipschitzian-type Mappings with Applications. Topological Fixed Point Theory and its Applications, vol. 6. Springer, New York (2009)

  2. Amat, S., Busquier, S., Plaza, S.: Review of some iterative root-finding methods from a dynamical point of view. Scientia 10(3), 35 (2004)

    MathSciNet  MATH  Google Scholar 

  3. Argyros, I.K.: Convergence and Applications of Newton-type Iterations. Springer, Berlin (2008)

    MATH  Google Scholar 

  4. Argyros, I.K.: Computational Theory of Iterative Methods, Studies in Computational Mathematics, vol. 15. Elsevier Publ. Comp., New York (2007)

  5. Argyros, I.K., Magrenan, A.A.: Iterative Methods and Their Dynamics with Applications: A Contemporary Study. CRC Press, Taylor and Francis, Boca Raton (2017)

    Book  MATH  Google Scholar 

  6. Argyros, I.K., Ren, H.: On convergence of the modified Newton’s method under Holder continuous Frechet derivative. Appl. Math. Comput. 213, 440–448 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  7. Bartle, R.G.: Newton’s method in Banach spaces. Proc. Am. Math. Soc. 6, 827–831 (1955)

    MathSciNet  MATH  Google Scholar 

  8. Berinde, V.: Iterative Approximation of Fixed Points. Springer, Berlin (2007)

    MATH  Google Scholar 

  9. Dennis, J.E.: On the Kantorovich hypothesis for Newton’s method. SIAM J. Numer. Anal. 6, 493–507 (1969)

    Article  MathSciNet  MATH  Google Scholar 

  10. Kreyszig, E.: Introductory Functional Analysis with Applications. Wiley, New York (1978)

    MATH  Google Scholar 

  11. Mandelbrot, B.B.: The Fractal Geometry of Nature. Macmillan. ISBN 978-0-7167-1186-5 (1983)

  12. Ortega, J., Rheinholdt, W.: Iterative Solution of Nonlinear Equations in Several Variables. Academic Press, New York (1970)

    Google Scholar 

  13. Rheinboldt, W.C.: A unified convergence theory for a class of iterative processes. SIAM J. Numer. Anal. 5, 42–63 (1968)

    Article  MathSciNet  MATH  Google Scholar 

  14. Sahu, D.R.: Applications of the S-iteration process to constrained minimization problems and split feasibility problems. Fixed Point Theory 12, 187–204 (2011)

    MathSciNet  MATH  Google Scholar 

  15. Sahu, D.R., Singh, K.K., Singh, V.K.: Some Newton-like methods with sharper error estimates for solving operator equations in Banach spaces. Fixed Point Theory and Applications. Springer, pp. 1–20 (2012)

  16. Scott, M., Neta, B., Chun, C.: Basin attractors for various methods. Appl. Math. Comput. 218(2), 2584–2599 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  17. Singh, M.K.: A six-order variant of Newton’s method for solving non linear equations. Comput. Methods Sci. Technol. 15(2), 185–193 (2009)

    Article  Google Scholar 

  18. Singh, M.K., Singh, A.K.: An optimal 8th order Newton’s-type method with Basin of attraction. SeMA J. https://doi.org/10.1007/s40324-021-00262-1

  19. Suhubi, E.S.: Functional Analysis. Kluwer Academic Publishers, London (2003)

    Book  MATH  Google Scholar 

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Correspondence to Manoj K. Singh.

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Singh, M.K., Singh, B.R. & Mishra, D.K. On the convergence of Newton-like MS method with dynamics and applications. SeMA 80, 663–686 (2023). https://doi.org/10.1007/s40324-022-00311-3

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