Optimal derivative-free root finding methods based on the Hermite interpolation
-
1617
Downloads
-
2682
Views
Authors
Nusrat Yasmin
- Centre for Advanced Studies in Pure and Applied Mathematics, Bahauddin Zakariya University Multan, Pakistan.
Fiza Zafar
- Centre for Advanced Studies in Pure and Applied Mathematics, Bahauddin Zakariya University Multan, Pakistan.
Saima Akram
- Centre for Advanced Studies in Pure and Applied Mathematics, Bahauddin Zakariya University Multan, Pakistan.
Abstract
We develop n-point optimal derivative-free root finding methods of order \(2^n\), based on the Hermite
interpolation, by applying a first-order derivative transformation. Analysis of convergence confirms that
the optimal order of convergence of the transformed methods is preserved, according to the conjecture of
Kung and Traub. To check the effectiveness and reliability of the newly presented methods, different type
of nonlinear functions are taken and compared.
Share and Cite
ISRP Style
Nusrat Yasmin, Fiza Zafar, Saima Akram, Optimal derivative-free root finding methods based on the Hermite interpolation, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 6, 4427--4435
AMA Style
Yasmin Nusrat, Zafar Fiza, Akram Saima, Optimal derivative-free root finding methods based on the Hermite interpolation. J. Nonlinear Sci. Appl. (2016); 9(6):4427--4435
Chicago/Turabian Style
Yasmin, Nusrat, Zafar, Fiza, Akram, Saima. "Optimal derivative-free root finding methods based on the Hermite interpolation." Journal of Nonlinear Sciences and Applications, 9, no. 6 (2016): 4427--4435
Keywords
- Root finding methods
- optimal order of convergence
- derivative approximation
- Hermite interpolation.
MSC
References
-
[1]
A. Cordero, J. R. Torregrosa, Low-complexity root-finding iteration functions with no derivatives of any order of convergence, J. Comput. Appl. Math., 275 (2015), 502{515.
-
[2]
Y. H. Geum, Y. I. Kim , A biparametric family of 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), 3178-3188.
-
[3]
H. T. Kung, J. F. Traub, Optimal order of one-point and multipoint iteration, J. Assoc. Comput. Mach., 21 (1974), 643-651.
-
[4]
A. M. Ostrowski, Solution of equations and systems of equations, Academic Press, New York (1960)
-
[5]
M. S. Petković, B. Neta, L. D. Petković, J. Džunić, Multipoint methods for solving nonlinear equations, Elsevier, Amsterdam (2013)
-
[6]
M. S. Petković, L. D. Petković , Families of optimal multipoint methods for solving nonlinear equations: A Survey , Appl. Anal. Discrete Math., 4 (2010), 1-22.
-
[7]
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. Simulation, 119 (2016), 69-90.
-
[8]
F. Soleymani, S. Shateyi, H. Salmani, Computing simple roots by an optimal sixteenth-order class, J. Appl. Math., 2012 (2012), 13 pages.
-
[9]
I. F. Steffensen, Remarks on iteration , Candinavian Actuarial J., 16 (1933), 64-72.
-
[10]
J. F. Traub, Iterative Methods for the Solution of Equations, Prentice-Hall, Englewood Cliffs, New Jersey (1964)
-
[11]
F. Zafar, N. Hussain, Z. Fatima, A. Kharal, Optimal sixteenth order convergent method based on Quasi-Hermite interpolation for computing roots, Sci. World J., 2014 (2014), 18 pages.
-
[12]
F. Zafar, N. Yasmin, S. Akram, M. D. Junjua, A general class of derivative free optimal root finding methods based on rational interpolation, Sci. World J., 2015 (2015), 12 pages.