探索非线性问题实根的混合迭代技术的收敛速度

IF 0.6 Q3 ENGINEERING, MULTIDISCIPLINARY
W. A. Shaikh, A. G. Shaikh, M. Memon, A. H. Sheikh
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引用次数: 1

摘要

研究了混合数值迭代法(HNIT)求解单变量(f (x) = 0)非线性问题的收敛速度。可以看出,HNIT的收敛速率为2。通过HNIT,若干单变量的代数和超越nlp已被证明为有效性能的近似实数根。在许多情况下,HNIT比众所周知的传统迭代技术(cit)更有活力和吸引力。计算工具MATLAB已被用于求解迭代技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convergence rate for the hybrid iterative technique to explore the real root of nonlinear problems
This study explored the convergence rate of the hybrid numerical iterative technique (HNIT) for the solution of nonlinear problems (NLPs) of one variable ( f (x) = 0) . It is sightseen that convergence rate is two for the HNIT. By the HNIT, several algebraic and transcendental NLPs of one variable have been illustrated as an approximate real root for efficient performance. In many instances, HNIT is more vigorous and attractive than well-known conventional iterative techniques (CITs). The computational tool MATLAB has been used for the solution of iterative techniques.
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