Optimization by parameters in the iterative methods for solving non-linear equations

T. Zhanlav, Kh. Otgondorj
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Abstract

In this paper, we used the necessary optimality condition for parameters in a two-point iterations for solving nonlinear equations. Optimal values of these parameters fully coincide with those obtained in [6] and allow us to increase the convergence order of these iterative methods. Numerical experiments and the comparison of existing robust methods are included to confirm the theoretical results and high computational efficiency. In particular, we considered a variety of real life problems from different disciplines, e.g., Kepler’s equation of motion, Planck’s radiation law problem, in order to check the applicability and effectiveness of our proposed methods.
求解非线性方程的迭代法中的参数优化
在本文中,我们在求解非线性方程的两点迭代中使用了参数的必要最优性条件。这些参数的最优值与[6]中获得的值完全一致,并允许我们增加这些迭代方法的收敛阶数。数值实验和现有鲁棒方法的比较证实了理论结果和较高的计算效率。特别是,我们考虑了来自不同学科的各种现实生活问题,例如开普勒运动方程、普朗克辐射定律问题,以检查我们提出的方法的适用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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