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A multidimensional generalization of some classes of iterative methods

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Abstract

In this paper we extend to the multidimensional case some iterative methods that are known in their scalar version. All the schemes considered here are two-step methods with fourth-order local convergence, where the first step is Newton’s method. We analyze the efficiency of these new four algorithms and compare them in terms of the elapsed time needed for their computational implementation. We illustrate our results with some numerical examples and an application to the resolution of the systems arising from a Hammerstein’s integral equation.

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References

  1. Amat, S., Busquier, S., Plaza, S.: Dynamics of the King and Jarratt iterations. Aequations Math. 69, 212–223 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  2. Amat, S., Magreñán, Á.A., Romero, N.: On a two-step relaxed Newton-type method. Appl. Math. Comput. 219, 11341–11347 (2013)

    MathSciNet  MATH  Google Scholar 

  3. Argyros, I.K.: Convergence and Applications of Newton-type Iterations. Springer-Verlag, New York (2010)

    Google Scholar 

  4. Chun, C.: Some fourth-order iterative methods for solving nonlinear equations. Appl. Math. Comput. 195, 454–459 (2008)

    MathSciNet  MATH  Google Scholar 

  5. Ezquerro, J.A., Grau-Sánchez, M., Hernández-Verón, M.A., Noguera, M.: A study of optimization for Steffensen-type methods with frozen divided differences. SeMA J. 70(1), 23–46 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  6. Fousse, L., Hanrot, G., Lefèvre, V., Pélissier, P., Zimmermann, P.: MPFR: a multiple-precision binary floating-point library with correct rounding. ACM Trans. Math. Softw. 33(2), 15 (Art. 13) (2007)

  7. Grau-Sánchez, M., Díaz-Barrero, J.L.: A technique to composite a modified Newton’s method for solving nonlinear equations. Ann. Univ. Buchar. Math. Ser. 2(LX), 53–61 (2011)

  8. Grau-Sánchez, M., Grau, A., Noguera, M.: Ostrowski type methods for solving systems of nonlinear equations. Appl. Math. Comp. 218, 2377–2385 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  9. Grau-Sánchez, M., Grau, A., Noguera, M.: On the computational efficiency index and some iterative methods for solving systems of nonlinear equations. J. Comput. Appl. Math. 236, 1259–1266 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  10. Grau-Sánchez, M., Grau, A., Noguera, M., Herrero, J.R.: A study on new computational local orders of convergence. Appl. Math. Lett. 25, 2023–2030 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  11. Grau-Sánchez, M., Noguera, M., Amat, S.: On the approximation of derivatives using divided difference operators preserving the local convergence order of iterative methods. J. Comp. Appl. Math. 237, 363–372 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  12. Grau-Sánchez, M., Noguera, M., Díaz-Barrero, J.L.: Note on the efficiency of some iterative methods for solving nonlinear equations. SeMA J. 71(1), 15–22 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  13. Grau-Sánchez, M., Noguera, M.: A technique to choose the most efficient method between secant method and some variants. Appl. Math. Comput. 218(11), 6415–6426 (2012)

    MathSciNet  MATH  Google Scholar 

  14. Gutiérrez, J.M., Hernández, M.A.: A family of Chebyshev-Halley type methods in Banach spaces. Bull. Austral. Math. Soc. 55, 113–130 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  15. King, R.F.: A family of fourth-order methods for nonlinear equations. SIAM J. Numer. Anal. 10, 876–879 (1973)

    Article  MathSciNet  MATH  Google Scholar 

  16. Kou, J., Li, Y., Wang, X.: Modified Halley’s method free from second derivative. Appl. Math. Comput. 183, 704–708 (2006)

    MathSciNet  MATH  Google Scholar 

  17. Kou, J., Li, Y., Wang, X.: A family of fourth-order methods for solving non-linear equations. Appl. Math. Comput. 188, 1031–1036 (2007)

    MathSciNet  MATH  Google Scholar 

  18. Kung, H.T., Traub, J.F.: Optimal order of one-point and multipoint iteration. J. Assoc. Comp. Mach. (ACM) 21, 643–651 (1974)

    Article  MathSciNet  MATH  Google Scholar 

  19. Neta, B.: Several new methods for solving equations. Intern. J. Comp. Math. 23, 265–282 (1988)

    Article  MATH  Google Scholar 

  20. Ostrowski, A.M.: Solutions of Equations and System of Equations. Academic Press, New York (1960)

    MATH  Google Scholar 

  21. Popovski, D.B., Popovski, P.B.: Some new one-point iteration functions of order three for solving equations. Z. Angew. Math. Mech. 62, T344–T345 (1982)

    MathSciNet  MATH  Google Scholar 

  22. Potra, F.A., Pták, V.: Nondiscrete induction and iterative methods. Pitman Publishing Limited, London (1984)

    MATH  Google Scholar 

  23. Sharma, J.R., Arora, H.: On efficient weighted-Newton methods for solving systems of nonlinear equations. Appl. Math. Comput. 222, 497–506 (2013)

    MathSciNet  MATH  Google Scholar 

  24. The GNU MPFR library 3.1.0. Available in http://www.mpfr.org

  25. Traub, J.F.: Iterative Methods for the Solution of Equations. Prentice-Hall, Englewood Cliffs, New Jersey (1964)

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Correspondence to José M. Gutiérrez.

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This work was supported by the project MTM2014-52016-C2-1-P of the Spanish Ministry of Economy and Competitiveness.

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Grau-Sánchez, M., Noguera, M. & Gutiérrez, J.M. A multidimensional generalization of some classes of iterative methods. SeMA 74, 57–73 (2017). https://doi.org/10.1007/s40324-016-0080-2

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  • DOI: https://doi.org/10.1007/s40324-016-0080-2

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