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Research Article Open access CC BY 3.0

Two-step Iterative Methods with Sixth-order Convergence for Solving Nonlinear Equations

R. Thukral

Journal of Advances in Mathematics and Computer Science · pp. 1941–1950 · Published 15 May 2014

10.9734/BJMCS/2014/10214

Abstract

Two parameter families of sixth-order iterative methods for finding simple zeros of nonlinear equations are developed. The new methods have the order of convergence order of five or six. Per iteration these new methods require two evaluations of the function and two evaluations of the first-order derivatives. In fact, the efficiency index of these methods is . Several examples are given to illustrate the efficiency of these new methods and their comparisons with other sixth-order method.

Nonlinear equations order of convergence computational efficiency iterative methods

References (8)

  1. 1 A variant of Newton's method with accelerated third-order convergence [DOI]
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  3. 3 Some modifications of Newton's method with fifth-order convergence [DOI]
  4. 4 The improvements of Chebyshev–Halley methods with fifth-order convergence [DOI]
  5. 5 Fifth-order iterative methods for solving nonlinear equations [DOI]
  6. 6 A family of fifth-order iterations composed of Newton and third-order methods [DOI]
  7. 7 Some variants of Chebyshev–Halley methods with fifth-order convergence [DOI]
  8. 8 Numerical analysis: an introduction [DOI]

Cited by 9

A SIXTH ORDER METHOD FOR SOLVING NONLINEAR EQUATIONS

Farshid Mirzaee, Afsun Hamzeh · 2014

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