Research Article  Open Access
Jovana Džunić, Miodrag S. Petković, "A Family of ThreePoint Methods of Ostrowski's Type for Solving Nonlinear Equations", Journal of Applied Mathematics, vol. 2012, Article ID 425867, 9 pages, 2012. https://doi.org/10.1155/2012/425867
A Family of ThreePoint Methods of Ostrowski's Type for Solving Nonlinear Equations
Abstract
A class of threepoint methods for solving nonlinear equations of eighth order is constructed. These methods are developed by combining twopoint Ostrowski's fourthorder methods and a modified Newton's method in the third step, obtained by a suitable approximation of the first derivative using the product of three weight functions. The proposed threestep methods have order eight costing only four function evaluations, which supports the KungTraub conjecture on the optimal order of convergence. Two numerical examples for various weight functions are given to demonstrate very fast convergence and high computational efficiency of the proposed multipoint methods.
1. Introduction
Multipoint methods for solving nonlinear equations , where , possess an important advantage since they overcome theoretical limits of onepoint methods concerning the convergence order and computational efficiency. More details may be found in the book [1] and many papers published in the first decade of the 21st century. In this paper we present a new family of threepoint methods which employs Ostrowski's method in the first two steps and suitably chosen weight functions in the third step. The order of this family is eight requiring four function evaluations.
We start with a threestep scheme (omitting iteration index for simplicity) where is a current approximation and is a new approximation to a simple real zero of . Note that the first two steps form Ostrowski's twopoint method [2] of order four.
The iterative method (1.1) has order eight but it requires five function evaluations, which is expensive from the computational point of view. To decrease this cost from 5 to 4 function evaluations, we want to approximate in the third step of (1.1) using available data , , , . We are seeking this approximation in the form where , , and are sufficiently differentiable realvalued functions with the arguments Now the iterative scheme (1.1) becomes
Functions , , and should be determined in such a way that the iterative method (1.4) attains the order eight. Such procedure will be presented in Section 2.
2. Construction and Convergence of New ThreePoint Root Solvers
To find the weight functions , , and in (1.4) providing order eight, we will use the method of undetermined coefficients and Taylor's series about 0 since , , and when . We have The simplest method for finding the coefficients of the above Taylor expansions is the use of symbolic computation by a computer algebra system and an interactive procedure (comments C1–C4 in Algorithm 1), as already carried out for some of the previously developed methods, see, for example, [3]. The corresponding program can always display any desired formula or expression, although these expressions are cumbersome and only of academic interest.

We introduce the following abbreviations:ck, fx, f1x, f1a, fy, fz,e, ey, ez, e1, t0, t10, t20, t30, s0, s10,v0, v10.
Comment 1. C1: from the expression of the error we observe that is of the form
The iterative threepoint method (1.4) will have the order of convergence equal to eight if we determine the coefficients of the developments appearing in (2.1) in such way that , , , (in (2.2)) all vanish. We find these coefficients equating shaded expressions in boxed formulas to 0. First, from Out[a4] we have
Without the loss of generality, we can take with the benefit that the term becomes 1 simplifying subsequent expressions.
In what follows, equating coefficient , , to 0, one obtainsC2:,C3:, ,C4:, .
Comment 2. C5: substituting the quantities in the expression of , found in the described interactive procedure, we obtain
Observe from (2.4) that must be bounded.
According to the above analysis we can state the following theorem.
Theorem 2.1 1. If is a sufficiently close approximation to a zero of , then the family of threepoint methods has the order eight if sufficiently times differentiable functions , , and are chosen so that the following conditions are fulfilled: Values of higher order derivatives of , , and , not explicitly given in (2.6), can be arbitrary at the point 0.
Weight functions , , and should be chosen as simple as possible. One of the simplest forms is that obtained by using the Taylor polynomials of these functions according to (2.6), that is, Using the approximation for sufficiently small , the last iterative formula may be modified to the form
Some other simple forms of functions , , and are It is interesting to note that functions and do satisfy the requested conditions (2.6), but the calculation of exponential function increases computational cost, so such choice is not acceptable.
3. Numerical Results
The family of threepoint methods (2.5) has been tested on numerous nonlinear equations along with some other methods of the same convergence rate. The programming package Mathematica with multiprecision arithmetic (800 significant decimal digits) was employed to provide very high accuracy. For comparison purposes, we have also tested the threepoint methods of optimal order eight given below.
BiWuRen's Family [4]
where is a realvalued function and
We have tested two methods belonging to the family (3.1), obtained by choosing two different forms of the weight function in the same way as in [4] (see Tables 1 and 2).
KungTraub's Method
Version 1 without derivatives [5]:
where is a real parameter.
KungTraub's Method
Version 2 with derivative [5]:
where, for example,
LiuWang's Method [6]
Remark 3.1. There are other threepoint methods with optimal order eight, see, for instance, [3, 7–15]. However, these methods produce results of approximately same quality so that did not display them in Tables 1 and 2.
For demonstration, among many numerical experiments, we have selected the following two functions:
The errors of approximations to the zeros are given in Tables 1 and 2, where denotes . These tables include the values of the computational order of convergence calculated by the formula
taking into consideration the last three approximations in the iterative process.
Acknowledgment
This work was supported by the Serbian Ministry of Science under Grant no. 174022.
References
 J. F. Traub, Iterative Methods for the Solution of Equations, PrenticeHall, Englewood Cliffs, NJ, USA, 1964.
 A. M. Ostrowski, Solution of Equations and Systems of Equations, Academic Press, New York, NY, USA, 1960.
 R. Thukral and M. S. Petković, “A family of threepoint methods of optimal order for solving nonlinear equations,” Journal of Computational and Applied Mathematics, vol. 233, no. 9, pp. 2278–2284, 2010. View at: Publisher Site  Google Scholar  Zentralblatt MATH
 W. Bi, Q. Wu, and H. Ren, “A new family of eighthorder iterative methods for solving nonlinear equations,” Applied Mathematics and Computation, vol. 214, no. 1, pp. 236–245, 2009. View at: Publisher Site  Google Scholar  Zentralblatt MATH
 H. T. Kung and J. F. Traub, “Optimal order of onepoint and multipoint iteration,” Journal of the Association for Computing Machinery, vol. 21, pp. 643–651, 1974. View at: Google Scholar  Zentralblatt MATH
 L. Liu and X. Wang, “Eighthorder methods with high efficiency index for solving nonlinear equations,” Applied Mathematics and Computation, vol. 215, no. 9, pp. 3449–3454, 2010. View at: Publisher Site  Google Scholar  Zentralblatt MATH
 W. Bi, H. Ren, and Q. Wu, “Threestep iterative methods with eighthorder convergence for solving nonlinear equations,” Journal of Computational and Applied Mathematics, vol. 225, no. 1, pp. 105–112, 2009. View at: Publisher Site  Google Scholar  Zentralblatt MATH
 J. Džunić, M. S. Petković, and L. D. Petković, “A family of optimal threepoint methods for solving nonlinear equations using two parametric functions,” Applied Mathematics and Computation, vol. 217, no. 19, pp. 7612–7619, 2011. View at: Publisher Site  Google Scholar  Zentralblatt MATH
 Y. H. Geum and Y. I. Kim, “A uniparametric family of threestep eighthorder multipoint iterative methods for simple roots,” Applied Mathematics Letters, vol. 24, no. 6, pp. 929–935, 2011. View at: Publisher Site  Google Scholar  Zentralblatt MATH
 B. Neta, “A new family of higher order methods for solving equations,” International Journal of Computer Mathematics, vol. 14, no. 2, pp. 191–195, 1983. View at: Google Scholar  Zentralblatt MATH
 B. Neta and M. S. Petković, “Construction of optimal order nonlinear solvers using inverse interpolation,” Applied Mathematics and Computation, vol. 217, no. 6, pp. 2448–2455, 2010. View at: Publisher Site  Google Scholar  Zentralblatt MATH
 M. S. Petković, “On a general class of multipoint rootfinding methods of high computational efficiency,” SIAM Journal on Numerical Analysis, vol. 47, no. 6, pp. 4402–4414, 2010. View at: Publisher Site  Google Scholar  Zentralblatt MATH
 L. D. Petković, M. S. Petković, and J. Džunić, “A class of threepoint rootsolvers of optimal order of convergence,” Applied Mathematics and Computation, vol. 216, no. 2, pp. 671–676, 2010. View at: Publisher Site  Google Scholar  Zentralblatt MATH
 J. R. Sharma and R. Sharma, “A new family of modified Ostrowski's methods with accelerated eighth order convergence,” Numerical Algorithms, vol. 54, no. 4, pp. 445–458, 2010. View at: Publisher Site  Google Scholar  Zentralblatt MATH
 X. Wang and L. Liu, “New eighthorder iterative methods for solving nonlinear equations,” Journal of Computational and Applied Mathematics, vol. 234, no. 5, pp. 1611–1620, 2010. View at: Publisher Site  Google Scholar  Zentralblatt MATH
Copyright
Copyright © 2012 Jovana Džunić and Miodrag S. Petković. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.