Abstract:We present a local convergence analysis of some families of Newton-like methods with frozen derivatives in order to approximate a locally unique solution of an equation in a Banach space setting. In earlier studies such as Amat et al. (Appl Math Lett. 25:2209-2217, 2012), Petkovic (Multipoint methods for solving nonlinear equations, Elsevier, Amsterdam, 2013), Traub (Iterative methods for the solution of equations, AMS Chelsea Publishing, Providence, 1982) and Xiao and Yin (Appl Math Comput, 2015) the local c… Show more
“…In Section 2, we study the semilocal convergence for the family (1). We also present the corresponding theorem for the family (2). An optimal computational study and some numerical examples are presented in Section 3.…”
Section: Theorem 1 Let X Y Be Two Banach Spaces Let B Be a Convex mentioning
confidence: 99%
“…[1][2][3][4][5][6][7][8][9] The Newton method is second-order convergent under some regularity assumptions. The classical third-order methods use second-order Fréchet derivatives.…”
SummaryThis paper is devoted to the study of two high-order families of frozen Newton-type methods. The methods are free of bilinear operators, which constitute the main limitation of the classical high-order iterative schemes.Both families are natural generalizations of an efficient third-order method.Although the methods are more demanding, a semilocal convergence analysis is presented using weaker conditions.
“…In Section 2, we study the semilocal convergence for the family (1). We also present the corresponding theorem for the family (2). An optimal computational study and some numerical examples are presented in Section 3.…”
Section: Theorem 1 Let X Y Be Two Banach Spaces Let B Be a Convex mentioning
confidence: 99%
“…[1][2][3][4][5][6][7][8][9] The Newton method is second-order convergent under some regularity assumptions. The classical third-order methods use second-order Fréchet derivatives.…”
SummaryThis paper is devoted to the study of two high-order families of frozen Newton-type methods. The methods are free of bilinear operators, which constitute the main limitation of the classical high-order iterative schemes.Both families are natural generalizations of an efficient third-order method.Although the methods are more demanding, a semilocal convergence analysis is presented using weaker conditions.
The foremost aim of this paper is to suggest a local study for high order iterative procedures for solving nonlinear problems involving Banach space valued operators. We only deploy suppositions on the first-order derivative of the operator. Our conditions involve the Lipschitz or Hölder case as compared to the earlier ones. Moreover, when we specialize to these cases, they provide us: larger radius of convergence, higher bounds on the distances, more precise information on the solution and smaller Lipschitz or Hölder constants. Hence, we extend the suitability of them.Our new technique can also be used to broaden the usage of existing iterative procedures too. Finally, we check our results on a good number of numerical examples, which demonstrate that they are capable of solving such problems where earlier studies cannot apply.
“…using Mathematical Modelling [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22]. The solution x * of equation (1.1) can rarely be found in an explicit form.…”
Abstract. We present the semilocal convergence of a modified Newton-HSS method to approximate a solution of a nonlinear equation. Earlier studies show convergence under only Lipschitz conditions limiting the applicability of this method. The convergence in this study is shown under generalized Lipschitztype conditions and restricted convergence domains. Hence, the applicability of the method is expanded. Moreover, numerical examples are also provided to show that our results can be applied to solve equations in cases where earlier study cannot be applied. Furthermore, in the cases where both old and new results are applicable, the latter provides a larger domain of convergence and tighter error bounds on the distances involved.Mathematics Subject Classification (2010): 65F10, 65W05.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.