Dergiler / Hacettepe Journal of Mathematics and Statistics / 2020 / Cilt: 49 - Sayı: 1

A simple algorithm for high order Newton iteration formulae and some new variants

Sayfa
425–438
Yayın Tarihi
2020-02-06
DOI
—
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The efficiency, accuracy and performance of the proposed methods and also their potential advantages over the classical ones are numerically demonstrated and discussed on some well-documented examples from the open literature.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The high order Newton iteration formulas are revisited in this paper.
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Temel Bulgular & Veri:Finally, some new higher order accurate variants are also offered taking into account multi-step compositions which demand less computation of higher derivatives.
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Sonuç & Katkı:The efficiency, accuracy and performance of the proposed methods and also their potential advantages over the classical ones are numerically demonstrated and discussed on some well-documented examples from the open literature.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Newton iterations · High order methods · Convergence

Abstract

The high order Newton iteration formulas are revisited in this paper. Translating the nonlinear root finding problem into a fixed point iteration involving an unknown general function whose root is searched, a double Taylor series is undertaken regarding the root and the root finding function. Based on the error analysis of the expansion, a simple algorithm is later proposed to construct Newton iteration formulae of any order commencing from the traditional linearly convergent fixed point iteration method and quadratically convergent Newton-Raphson method of frequently at the disposal of the scientific community. It is shown that the well-known variants like the Halley's method or Haouseholder's methods of high order can be reproduced from the general case outlined here. Some further rare single-step classes of any order are shown to be derivable from the presented algorithm. Finally, some new higher order accurate variants are also offered taking into account multi-step compositions which demand less computation of higher derivatives. The efficiency, accuracy and performance of the proposed methods and also their potential advantages over the classical ones are numerically demonstrated and discussed on some well-documented examples from the open literature.

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Bu Makaleye Atıf Yap

TURKYİLMAZOGLU, M. (2020). A simple algorithm for high order Newton iteration formulae and some new variants. Hacettepe Journal of Mathematics and Statistics, Cilt: 49 - Sayı: 1, 425–438. https://ajindex.com/articles/669324

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Kaynakça (19)

  1. S. Abbasbandy, Improving Newton-Raphson method for nonlinear equations modified Adomian decomposition method, Appl. Math. Comput. 145, 887–893, 2003
  2. G. Alefeld, On the convergence of Halley’s method, Amer. Math. Monthly, 8, 530–536, 1981
  3. S. Amat and S. Busquier, Advances in iterative methods for nonlinear equations, Springer, 2016
  4. G. Ardelean, A new third-order Newton-type iterative method for solving nonlinear equations, Appl. Math. Comput. 219, 9856–9864, 2013
  5. J. Chen, A new family of exponential iteration methods with quadratic convergence of both diameters and points for enclosing zeros of nonlinear equations, Math. Comput. Model. 45, 544–552, 2007
  6. C. Chun, A geometric construction of iterative formulas of order three, Appl. Math. Lett. 23, 512–516, 2010
  7. C. Chun and Y. Ham, A one-parameter fourth-order family of iterative methods for nonlinear equations, Appl. Math. Comput. 189, 610–614, 2007
  8. C. Chun and Y. Ham, Some fourth-order modifications of Newtons method, Appl. Math. Comput. 197, 654–658, 2008
  9. A. Cordero and J.R. Torregrosa, Low-complexity root-finding iteration functions with no derivatives of any order of convergence, J. Comput. Appl. Math. 275, 502–515, 2015
  10. A. Cordero, J.L. Hueso, E. Martinez and J.R. Torregrosa, Efficient high-order methods based on golden ratio for nonlinear systems, Appl. Math. Comput. 217, 4548–4556, 2011
  11. M. Dehghan and M. Hajarian, Some derivative free quadratic and cubic convergence iterative formulaa for solving nonlinear equations, Comp. & App. Math. 29, 19–30, 2010
  12. T. Fang, F. Guo and C.F.F. Lee, A new iteration method with cubic convergence to solve nonlinear algebraic equations, Appl. Math. Comput. 175, 1147–1155, 2006
  13. W.J. Gilbert, Generalizations of Newton’s method, Fractals, 9, 251–262, 2001
  14. Y.M. Hama, C. Chunb and S.G. Leeb, Some higher-order modifications of Newton’s method for solving nonlinear equations, J. Comput. Appl. Math. 222, 477–486, 2008
  15. D. Herceg and D. Herceg, Sixth-order modifications of Newton’s method based on Stolarsky and Gini means, J. Comput. Appl. Math. 267, 244–253, 2014
  16. A.S. Householder, Principles of numerical analysis, Dover, New-York, 1974
  17. P. Jarratt, Some efficient fourth order multipoint methods for solving equations, BIT, 9, 119–124, 1969
  18. R. Kalaba and A. Tishler, A generalized Newton algorithm using higher-order derivatives, J. Optim. Theory Appl. 39, 1–16, 1983
  19. J. Kou, The impr