Abstract
We present a local as well a semilocal convergence analysis for Newton’s method in a Banach space setting. Using the same Lipschitz constants as in earlier studies (S. Amat, S. Busquier, J. Math. Anal. Appl. 336:243–261, 2007, [2], I.K. Argyros, J. Comput. Math. 169:315–332, 2004, [4], I.K. Argyros, Math. Comput. 80:327–343, 2011, [5], I.K. Argyros, D. González, Appl. Math. Comput. 234:167–178, 2014, [6], I.K. Argyros, S. Hilout, J. Complex., AMS, 28:364–387, 2012, [7], I.K. Argyros, S. Hilout, Numerical methods in Nonlinear Analysis, 2013, [8], I.K. Argyros, S. Hilout, Appl. Math. Comput. 225:372–386, 2013, [9], J.A. Ezquerro, M.A. Hernández, How to improve the domain of parameters for Newton’s method, to appear in Appl. Math. Lett, [11], J.M. Gutiérrez, Á.A. Magreñán, N. Romero, Appl. Math. Comput. 221:79–88, 2013, [13], L.V. Kantorovich, G.P. Akilov, Functional Analysis, 1982, [14], J.F. Traub, Iterative Methods for the Solution of Equations, 964, [15]) we extend the applicability of, Newton’s method as follows: Local case: A larger radius is given as well as more precise error estimates on the, distances involved. Semilocal case: the convergence domain is extended; the error estimates are tighter and the information on the location of the solution is at least as precise as before. Numerical examples further justify the theoretical results. It follows (I.K. Argyros, Á.A. Magreñán, Extending the applicability of the local and semilocal convergence of Newton’s method, submitted for publication, 2015, [10]).
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S. Amat, S. Busquier, Third-order iterative methods under Kantorovich conditions. J. Math. Anal. Appl. 336, 243–261 (2007)
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I.K. Argyros, On the Newton–Kantorovich hypothesis for solving equations. J. Comput. Math. 169, 315–332 (2004)
I.K. Argyros, A semilocal convergence analysis for directional Newton methods. Math. Comput. 80, 327–343 (2011)
I.K. Argyros, D. González, Extending the applicability of Newton’s method for \(k\)-Fréchet differentiable operators in Banach spaces. Appl. Math. Comput. 234, 167–178 (2014)
I.K. Argyros, S. Hilout, Weaker conditions for the convergence of Newton’s method. J. Complex., AMS 28, 364–387 (2012)
I.K. Argyros, S. Hilout, Numerical methods in Nonlinear Analysis (World Scientific Publ. Comp, New Jersey, 2013)
I.K. Argyros, S. Hilout, On an improved convergence analysis of Newton’s method. Appl. Math. Comput. 225, 372–386 (2013)
I.K. Argyros, Á.A. Magreñán, Extending the applicability of the local and semilocal convergence of Newton’s method (2015), submitted for publication
J.A. Ezquerro, M.A. Hernández, How to improve the domain of parameters for Newton’s method, to appear in Appl. Math. Lett
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)
L.V. Kantorovich, G.P. Akilov, Functional Analysis (Pergamon Press, Oxford, 1982)
W.C. Rheinboldt, An adaptive continuation process for solving systems of nonlinear equations. Pol. Acad. Sci., Banach Ctr. Publ. 3, 129–142 (1978)
J.F. Traub, Iterative Methods for the Solution of Equations (Prentice- Hall Series in Automatic Computation, Englewood Cliffs, 1964)
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Anastassiou, G.A., Argyros, I.K. (2016). Extending the Convergence Domain of Newton’s Method. In: Intelligent Numerical Methods II: Applications to Multivariate Fractional Calculus. Studies in Computational Intelligence, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-33606-0_7
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DOI: https://doi.org/10.1007/978-3-319-33606-0_7
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