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In this work, we generalize a family of optimal eighth order weighted-Newton methods to Banach spaces and study its local convergence to approximate a locally-unique solution of a system of nonlinear equations. The convergence in this study is shown under hypotheses only on the first derivative. Our analysis avoids the usual Taylor expansions requiring higher order derivatives but uses generalized Lipschitz-type conditions only on the first derivative. Moreover, our new approach provides computable radius of convergence as well as error bounds on the distances involved and estimates on the uniqueness of the solution based on some functions appearing in these generalized conditions. Such estimates are not provided in the approaches using Taylor expansions of higher order derivatives which may not exist or may be very expensive or impossible to compute. The convergence order is computed using computational order of convergence or approximate computational order of convergence which do not require usage of higher derivatives. This technique can be applied to any iterative method using Taylor expansions involving high order derivatives. The study of the local convergence based on Lipschitz constants is important because it provides the degree of difficulty for choosing initial points. In this sense the applicability of the method is expanded. Finally, numerical examples are provided to verify the theoretical results and to show the convergence behavior.
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참고문헌 (31)
참고문헌 신청
S. Amat / 2011 / Third-order iterative methods with applications to Hammerstein equations: a unified approach / J. Comput. Appl. Math. 235(9):2936~2943
S. Amat / 2010 / Chaotic dynamics of a third-order Newton-type method / J. Math. Anal. Appl. 366(1):24~32
S. Amat / 2012 / Semilocal convergence of a sixth order iterative method for quadratic equations / Appl. Numer. Math. 62(7):833~841
I. K. Argyros / 2007 / Computational Theory of Iterative Methods, Studies in Computational Mathematics, 15 / Elsevier B. V.
I. K. Argyros / 2012 / Weaker conditions for the convergence of Newton's method / J. Complexity 28(3):364~387
S. Amat / 2010 / Chaotic dynamics of a third-order Newton-type method / J. Math. Anal. Appl. 366(1):24~32
S. Amat / 2012 / Semilocal convergence of a sixth order iterative method for quadratic equations / Appl. Numer. Math. 62(7):833~841
I. K. Argyros / 2007 / Computational Theory of Iterative Methods, Studies in Computational Mathematics, 15 / Elsevier B. V.
I. K. Argyros / 2012 / Weaker conditions for the convergence of Newton's method / J. Complexity 28(3):364~387
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