Abstract
The aim of this paper, is to extend the applicability of Newton’s method for solving a generalized equation of the type \(f(x)+F(x)\ni 0\) in Banach spaces, where f is a Fréchet differentiable function and F is a set-valued mapping. The novelty of the paper is the introduction of a restricted convergence domain. Using the idea of a weaker majorant, the convergence of the method, the optimal convergence radius, and results of the convergence rate are established. That is we find a more precise location where the Newton iterates lie than in earlier studies. Consequently, the Lipschitz constants are at least as small as the ones used before. This way and under the same computational cost, we extend the semilocal convergence of the Newton iteration for solving \(f(x)+F(x)\ni 0\). The strong regularity concept plays an important role in our analysis. We finally present numerical examples, where we can solve equations in cases not possible before without using additional hypotheses.
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Argyros, I.K., Magreñán, Á.A.: Iterative Methods and Their Dynamics with Applications: A Contemporary Study. CRC Press, New York (2017)
Blum, L., Cucker, F., Shub, M., Smale, S.: Complexity and real computation. Springer, New York (1998). With a foreword by Richard M. Karp
Dontchev, A.L.: Local analysis of a Newton-type method based on partial linearization. In: The Mathematics of Numerical Analysis (Park City, UT, 1995). Lectures in Applied Mathematics, vol. 32, pp. 295–306. American Mathematical Society, Providence (1996)
Dontchev, A.L., Rockafellar, R.T.: Characterizations of strong regularity for variational inequalities over polyhedral convex sets. SIAM J. Optim. 6, 1087–1105 (1996)
Dontchev, A.L., Rockafellar, R.T.: Implicit Functions and Solution Mappings. Springer Monographs in Mathematics. A View from Variational Analysis. Springer, Dordrecht (2009)
Dontchev, A.L., Rockafellar, R.T.: Newton’s method for generalized equations: a sequential implicit function theorem. Math. Program. 123(1, Ser. B), 139–159 (2010)
Ferreira, O.P., Silva, G.N.: Inexact Newton’s method for nonlinear functions with values in a cone. Appl. Anal. (2018). https://doi.org/10.1080/00036811.2018.1430779
Ferreira, O.P., Silva, G.N.: Local convergence analysis of Newton’s method for solving strongly regular generalized equations. J. Math. Anal. Appl. 458(1), 481–496 (2018)
Ferreira, O.P., Silva, G.N.: Kantorovich’s theorem on Newton’s method for solving strongly regular generalized equation. SIAM J. Optim. 27(2), 910–926 (2017)
Ferreira, O.P., Svaiter, B.F.: Kantorovich’s majorants principle for Newton’s method. Comput. Optim. Appl. 42(2), 213–229 (2009)
Josephy, N.: Newton’s Method for Generalized Equations and the PIES Energy Model. University of Wisconsin-Madison, Madison (1979)
Robinson, S.M.: Extension of Newton’s method to nonlinear functions with values in a cone. Numer. Math. 19, 341–347 (1972)
Robinson, S.M.: Strongly regular generalized equations. Math. Oper. Res. 5(1), 43–62 (1980)
Silva, G.N.: Kantorovich’s theorem on Newton’s method for solving generalized equations under the majorant condition. Appl. Math. Comput. 286, 178–188 (2016)
Silva, G.N.: Local convergence of Newton’s method for solving generalized equations with monotone operator. Appl. Anal. (2017). https://doi.org/10.1080/00036811.2017.1299860
Wang, X.: Convergence of Newton’s method and inverse function theorem in Banach space. Math. Comput. 68(225), 169–186 (1999)
Zabrejko, P.P., Nguen, D.F.: The majorant method in the theory of Newton–Kantorovich approximations and the Pták error estimates. Numer. Funct. Anal. Optim. 9(5–6), 671–684 (1987)
Zhang, Y., Wang, J., Guu, S.: Convergence criteria of the generalized Newton method and uniqueness of solution for generalized equations. J. Nonlinear Convex Anal. 16(7), 1485–1499 (2015)
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Argyros, I.K., Silva, G.N. Extending the Kantorovich’s theorem on Newton’s method for solving strongly regular generalized equation. Optim Lett 13, 213–226 (2019). https://doi.org/10.1007/s11590-018-1266-6
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DOI: https://doi.org/10.1007/s11590-018-1266-6