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Some Newton-like methods with sharper error estimates for solving operator equations in Banach spaces

机译:Banach空间中一些近似误差估计的牛顿型方法,用于求解算子方程

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It is well known that the rate of convergence of S-iteration process introduced by Agarwal et al. (pp. 61-79) is faster than Picard iteration process for contraction operators. Following the ideas of S-iteration process, we introduce some Newton-like algorithms to solve the non-linear operator equation in Banach space setting. We study the semi-local as well as local convergence analysis of our algorithms. The rate of convergence of our algorithms are faster than the modified Newton method. Mathematics Subject Classification 2010: 49M15; 65K10; 47H10.
机译:众所周知,由Agarwal等人介绍的S迭代过程的收敛速度。 (第61-79页)比收缩算子的Picard迭代过程快。遵循S迭代过程的思想,我们引入了一些类似于Newton的算法来解决Banach空间设置中的非线性算子方程。我们研究了算法的半局部和局部收敛分析。我们算法的收敛速度比改进的牛顿法快。 2010年数学学科分类:49M15; 65K10; 47H10。

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