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A continuation method and its convergence for solving nonlinear equations in banach spaces

机译:求解Banach空间非线性方程的一种延拓方法及其收敛性。

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A continuation method is a parameter based iterative method establishing a continuous connection between two given functions/operators and used for solving nonlinear equations in Banach spaces. The semilocal convergence of a continuation method combining Chebyshev's method and Convex acceleration of Newton's method for solving nonlinear equations in Banach spaces is established in [J. A. Ezquerro, J. M. Gutiérrez and M. A. Hernández [1997] J. Appl. Math. Comput. 85: 181-199] using majorizing sequences under the assumption that the second Frechet derivative satisfies the Lipschitz continuity condition. The aim of this paper is to use recurrence relations instead of majorizing sequences to establish the convergence analysis of such a method. This leads to a simpler approach with improved results. An existence-uniqueness theorem is given. Also, a closed form of error bounds is derived in terms of a real parameter α [0, 1]. Four numerical examples are worked out to demonstrate the efficacy of our convergence analysis. On comparing the existence and uniqueness region and error bounds for the solution obtained by our analysis with those obtained by using majorizing sequences, it is found that our analysis gives better results in three examples, whereas in one example it gives the same results. Further, we have observed that for particular values of the α, our analysis reduces to those for Chebyshev's method (α = 0) and Convex acceleration of Newton's method (α = 1) respectively with improved results.
机译:连续方法是基于参数的迭代方法,可在两个给定的函数/运算符之间建立连续连接,用于求解Banach空间中的非线性方程。在[J. Chem.Inst。,2004,5,1中,建立了结合切比雪夫方法和牛顿方法的凸加速度的连续方法的半局部收敛性,该方法用于求解Banach空间中的非线性方程。 A. Ezquerro,J。M.Gutiérrez和M. A.Hernández[1997] J. Appl。Eng。数学。计算85:181-199]在第二弗雷歇特导数满足Lipschitz连续性条件的假设下使用主化序列。本文的目的是使用递归关系而不是主要化序列来建立这种方法的收敛性分析。这导致一种更简单的方法,并且结果有所改善。给出了存在唯一性定理。此外,根据实参α[0,1]导出了误差边界的封闭形式。算出了四个数值示例,以证明我们收敛分析的有效性。通过比较我们的分析获得的解的存在性和唯一性区域以及误差界限与使用主化序列获得的解的界限,发现我们的分析在三个示例中给出了更好的结果,而在一个示例中给出了相同的结果。此外,我们已经观察到,对于特定的α值,我们的分析分别简化为切比雪夫方法(α= 0)和牛顿方法的凸加速度(α= 1),结果得到了改善。

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