A two-point eighth-order method based on the weight function for solving nonlinear equations
DOI:
https://doi.org/10.33993/jnaat501-1230Keywords:
Method with memory, Accelerator parameter, Weight function, Newton’s interpolatory polynomial, Order of convergence, nonlinear equations in R, iterative methodAbstract
In this work, we have designed a family of with-memory methods with eighth-order convergence. We have used the weight function technique. The proposed methods have three parameters. Three self-accelerating parameters are calculated in each iterative step employing only information from the current and all previous iteration. Numerical experiments are carried out to demonstrate the convergence and the e?ciency of our iterative method.
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I.K. Argyros, Approximating solutions of equations using Newton’s method with a modified Newton’s method iterate as a starting point, J. Numer. Anal. Approx. Theory, 36(2)(2007), pp. 123–138, https://ictp.acad.ro/jnaat/journal/article/view/2007-vol36-no2-art2
P. Bassiri, P. Bakhtiari, S. Abbasbandy, A new iterative with memory class for solving nonlinear equations, Int. J. Ind. Math. 8(3) (2016), pp. 225–229.
R. Behl, S.S. Motsa, Higher order two-point efficient family of Halley type methods for simple roots, Intl. J. Comput. Meth., 13 (2016) 4, pp. 1–16, https://doi.org/10.1142/S0219876216410164
N. Choubey, B. Panday, J.P. Jaiswal, Several two-point with memory iterative methods for solving nonlinear equations, Afr. Mat. (2018), pp. 1–15, https://doi.org/10.1007/s13370-018-0552-x
C. Chun, Some fourth-order iterative methods for solving nonlinear equations, Appl. Math. Comput., 195(2008), pp. 454–459, https://doi.org/10.1016/j.amc.2007.04.105
A. Cordero, T. Lotfi, K. Mahdiani, J.R. Torregrosa, Two optimal general classes of iterative methods with eighth-order, Acta Appl. Math., 134(1) (2014), pp. 61–74, https://doi.org/10.1007/s10440-014-9869-0
A. Cordero, T. Lotfi, J.R. Torregrosa, P. Assari, K. Mahdiani, Some new bi-accelarator two-point methods for solving nonlinear equations, Comput. Appl. Math. 35(2016), pp. 251–267, https://doi.org/10.1007/s40314-014-0192-1
E. Catinas, A survey on the convergence orders and the computational convergence orders of sequences, Appl. Math. Comput., 343(2019), pp. 1–20, https://doi.org/10.1016/j.amc.2018.08.006
T. Eftekhari, An efficient class of multipoint root-solvers with and without memory for nonlinear equations, Acta. Math. Viet. 41 (2016), 299–311, https://doi.org/10.1007/s40306-015-0132-1
Y. H. Geum, Y. I. Kim, A biparametric family optimally convergent sixteenth-order multipoint methods with their fourth-step weighting function as a sum of a rational and a generic two-variable function, J. Comput. Appl. Math., 235(2011), pp. 3178–3188, https://doi.org/10.1016/j.cam.2011.01.003
J. P. Jaiswal, Two efficient bi-parametric derivative free with memory methods forfinding simple roots of nonlinear equations, J. Adv. Appl. Math, 1(2016) 4, pp. 203–210.
H.T. Kung, J.F. Traub, Optimal order of one-point and multipoint iteration, J. Assoc. Comput. Mach., 21 (1974) 4, pp. 643–651, https://doi.org/10.1145/321850.321860
T. Lotfi, K. Mahdiani, P. Bakhtiari, F. Soleymani, Constructing two-step iterative methods with and without memory, Comput. Math. Math. Phys, 55(2) (2015), pp. 183–193, https://doi.org/10.1134/S0965542515020189
T. Lotfi, F. Soleymani, S. Sharifi, S. Shateyi, F.K. Haghani, Multipoint iterative methods for finding all the simple zeros in an interval, J. Appl. Math. 2014, pp. 1–14, https://doi.org/10.1155/2014/601205
T. Lotfi, P. Assari, A new two-step class of methods with memory for solving non-linear equations with high efficiency index, Int. J. Math. Model. Comput., 4(3) (2014), pp. 277–288.
T. Lotfi, F. Soleymani, M. Ghorbanzadeh, P. Assari, On the construction of some triparametric iterative methods with memory, Numer. Algor., 70(4) (2015), pp. 835–845, https://doi.org/10.1007/s11075-015-9976-7
T. Lotfi, F. Soleymani, Z. Noori, A. Kilicman, F. Khaksar Haghani, Efficient iterative methods with and without memory possessing high efficiency indices, Disc. Dyna. Natu. Soc., 2014 (2014), pp. 1–9, https://doi.org/10.1155/2014/912796
A.K. Maheshwari, A fourth order iterative method for solving nonlinear equations, Appl. Math. Comput., 211 (2009, pp. 383–391, https://doi.org/10.1016/j.amc.2009.01.047
M. Mohamadi Zadeh, T. Lotfi, M. Amirfakhrian, Developing two efficient adaptive Newton-type methods with memory, Math. Meth. Appl. Sci. 2018 (2018), pp. 1–9, https://doi.org/10.1002/mma.5381
B. Neta, A new family of higher order methods for solving equations, Int. J. Comput. Math., 14 (1983), pp. 191–195, https://doi.org/10.1080/00207168308803384
J.M. Ortega, W.C. Rheinboldt, Iterative Solutions of Nonlinear Equations in Several Variables, Academic Press, New York, 1970.
A.M. Ostrowski, Solution of Equations and Systems of Equations, Academic Press, New York, 1960.
M.S. Petkovic, B. Neta, L.D. Petkovic, J. Dzunic, Multipoint Methods for Solving Nonlinear Equations, Elsevier, Amsterdam, 2013.
M.S. Petkovic, S. Ilic, J. Dzunic, Derivative free two-point methods with and without memory for solving nonlinear equations, Appl. Math. Comput., 217(2010), pp. 1887–1895, https://doi.org/10.1016/j.amc.2010.06.043
S. Sharifi, M. Salimi, S. Siegmund, T. Lotfi, A new class of optimal four-point methods with convergence order 16 for solving nonlinear equations, Math. Comput. Simu., 2015 (2015), pp. 1–26, https://doi.org/10.1016/j.matcom.2015.08.011
F. Soleymani, On a bi-parametric classes of optimal eight-order derivative-free methods, Int. J. Pure Appl. Math., 72 (1) (2011), pp. 27–37.
F. Soleymani, T. Lotfi, E. Tavakoli, F. Khaksar Haghani, Several iterative methods with memory using self-accelerators, Appl. Math. Comput., 254(2015), pp. 452–458, https://doi.org/10.1016/j.amc.2015.01.045
F. Soleymani, Some optimal iterative methods and their with memory variants, J. Egypt. Math. Soc., 2013 (2013) 1-9, https://doi.org/10.1016/j.joems.2013.01.002
V. Torkashvand, T. Lotfi, M.A. Fariborzi Araghi, A new family of adaptive methods with memory for solving nonlinear equations, Math. Sci., 13 (2019), pp. 1–20, https://doi.org/10.1007/s40096-018-0272-2
V. Torkashvand, M. Kazemi, On an efficient family with memory with high order of convergence for solving nonlinear equations, Int. J. Ind. Math., 12(2) (2020), pp. 209–224.
J.F. Traub, Iterative Methods for the Solution of Equations, Prentice Hall, New York, USA, 1964.
X. Wang, A new accelerating technique applied to a variant of Cordero-Torregrosa method, J. Comput. Appl. Math., 330(2018), pp. 695–709, https://doi.org/10.1016/j.cam.2017.07.003
X. Wang, T. Zhang, High-order Newton-type iterative methods with memory for solving nonlinear equations, Math. Commun., 19 (2014), pp. 91–109.
T. Zhanlav, O. Chuluunbaatar, V. Ulziibayar, Accelerating the convergence of Newton-type iterations, J. Numer. Anal. Approx. Theory, 46(2) (2017), pp. 162–180, https://ictp.acad.ro/jnaat/journal/article/view/1105
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