Abstract
We first present a local convergence analysis for some families of fourth and six order methods in order to approximate a locally unique solution of a nonlinear equation in a Banach space setting. Earlier studies have used hypotheses on the fourth Fréchet-derivative of the operator involved. We use hypotheses only on the first Fréchet-derivative in one local convergence analysis. This way, the applicability of these methods is extended. Moreover, the radius of convergence and computable error bounds on the distances involved are also given in this study based on Lipschitz constants. Numerical examples illustrating the theoretical results are also presented in this study.
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S. Amat, S. Busquier, J.M. Gutiérrez, Geometric constructions of iterative functions to solve nonlinear equations. J. Comput. Appl. Math. 157, 197–205 (2003)
S. Amat, S., Busquier, Á. A. Magreñán, Reducing chaos and bifurcations in Newton-type methods. Abstr. Appl. Anal. 2013, art. no. 726701 (2013)
S. Amat, Á.A. Magreñán, N. Romero, On a two-step relaxed Newton-type method Appl. Math. Comput. 219(24), 11341–11347 (2013)
S. Amat, S. Busquier, C. Bermúdez, Á.A. Magreñán, On the election of the damped parameter of a two-step relaxed Newton-type method. Nonlinear Dyn. 84(1), 9–18 (2016)
S. Amat, S. Busquier, Á.A. Magreñán, Improving the dynamics of Steffensen-type methods. Appl. Math. Inf. Sci. 9(5), 2403–2408 (2015)
I.K. Argyros, Quadratic equations and applications to Chandrasekhar’s and related equations. Bull. Austr. Math. Soc. 32, 275–292 (1985)
I.K. Argyros, D. Chen, Results on the Chebyshev method in Banach spaces. Proyecciones 12(2), 119–128 (1993)
I.K. Argyros, A unifying local-semilocal convergence analysis and applications for two-point Newton-like methods in Banach space. J. Math. Anal. Appl. 298, 374–397 (2004)
I.K. Argyros, Computational theory of iterative methods, in Series: Studies in Computational Mathematics, vol. 15, ed. by C.K. Chui, L. Wuytack (Elsevier Publ. Co., New York, 2007)
I.K. Argyros, S. Hilout, Weaker conditions for the convergence of Newton’s method. J. Complex. 28, 364–387 (2012)
I.K. Argyros, S. Hilout, Numerical Methods in Nonlinear Analysis (World Scientific Publ. Comp., New Jersey, 2013)
V. Candela, A. Marquina, Recurrence relations for rational cubic methods II: the Chebyshev method. Computing 45, 355–367 (1990)
C. Chun, P. Stanica, B. Neta, Third order family of methods in Banach spaces. Comput. Math. Appl. 61, 1665–1675 (2011)
J. Divya, Families of Newton-like methos with fourth-order convergence. Int. J. Comput. Math. 90(5), 1072–1082 (2013)
A. Fraile, E. Larrodé, Á.A. Magreñán, J.A. Sicilia, Decision model for siting transport and logistic facilities in urban environments: a methodological approach. J. Comput. Appl. Math. 291, 478–487 (2016)
Y.H. Geum, Y.I. Kim, Á.A. Magreñán, A biparametric extension of King’s fourth-order methods and their dynamics. Appl. Math. Comput. 282, 254–275 (2016)
J.M. Gutiérrez, Á.A. Magreñán, N. Romero, On the semilocal convergence of Newton–Kantorovich method under center-Lipschitz conditions. Appl. Math. Comput. 221, 79–88 (2013)
J.M. Gutiérrez, Á.A. Magreñán, J.L. Varona, The “Gauss-Seidelization” of iterative methods for solving nonlinear equations in the complex plane. Appl. Math. Comput. 218(6), 2467–2479 (2011)
J.M. Gutiérrez, M.A. Hernández, Recurrence relations for the super-Halley method. Comput. Math. Appl. 36, 1–8 (1998)
M.A. Hernández, M.A. Salanova, Modification of the Kantorovich assumptions for semilocal convergence of the Chebyshev method. J. Comput. Appl. Math. 126, 131–143 (2000)
M.A. Hernández, Chebyshev’s approximation algorithms and applications. Comput. Math. Appl. 41, 433–455 (2001)
J.L. Hueso, E. Martínez, C. Teruel, Convergence, efficiency and dynamics of new fourth and sixth order families of iterative methods for nonlinear systems. J. Comput. Appl. Math. 275, 412–420 (2015)
L.V. Kantorovich, G.P. Akilov, Functional Analysis (Pergamon Press, Oxford, 1982)
Á.A. Magreñán, A. Cordero, J.M. Gutiérrez, J.R. Torregrosa, Real qualitative behavior of a fourth-order family of iterative methods by using the convergence plane. Math. Comput. Simul. 105, 49–61 (2014)
Á.A. Magreñán, J.M. Gutiérrez, Real dynamics for damped Newton’s method applied to cubic polynomials. J. Comput. Appl. Math. 275, 527–538 (2015)
Á.A. Magreñán, Different anomalies in a Jarratt family of iterative root-finding methods. Appl. Math. Comput. 233, 29–38 (2014)
Á.A. Magreñán, A new tool to study real dynamics: the convergence plane. Appl. Math. Comput. 248, 215–224 (2014)
J.M. Ortega, W.C. Rheinboldt, Iterative Solution of Nonlinear Equations in Several Variables (Academic Press, New York, 1970)
W.C. Rheinboldt, An adaptive continuation process for solving systems of nonlinear equations. Banach Center Publ. 3, 129–142 (1978)
J.R. Sharma, Improved Chebyshev–Halley methods with sixth and eighth order of convergence. Appl. Math. Comput. 256, 119–124 (2015)
J.F. Traub, Iterative Methods for the Solution of Equations (Prentice-Hall Series in Automatic Computation, Englewood Cliffs, 1964)
Acknowledgements
This research was partially supported by Ministerio de Economía y Competitividad under Grant MTM2014-52016-C2-1P. This research was supported by Universidad Internacional de La Rioja (UNIR, http://www.unir.net), under the Plan Propio de Investigación, Desarrollo e Innovación 3 [2015–2017]. Research group: MAPPING and by the Grant SENECA 19374/PI/14.
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Argyros, I.K., Magreñán, Á.A., Orcos, L. et al. Different methods for solving STEM problems. J Math Chem 57, 1268–1281 (2019). https://doi.org/10.1007/s10910-018-0950-1
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DOI: https://doi.org/10.1007/s10910-018-0950-1