A new family of twentieth order convergent methods with applications to nonlinear systems in engineering

IF 0.6 Q3 ENGINEERING, MULTIDISCIPLINARY Mehran University Research Journal of Engineering and Technology Pub Date : 2023-01-01 DOI:10.22581/muet1982.2301.15
H. Abro, M. M. Shaikh
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Abstract

A new family of iterative methods with a strong converging order of twenty to solve nonlinear equations and systems is presented in this study. A simple strategy of blending some existing methods is used to develop the proposed family. The theoretical order of convergence is derived by employing Taylor’s series. The performance of the iterative methods in the proposed family is examined by applying the methods on real-world engineering problems. A nonlinear equation modeled by NASA for launching “Wind” satellite and some other complex applied systems, such as combustion problem, tank-reactor problem, kinematic synthesis mechanism, neurophysiology application and one boundary-value problem, have been solved to check the performance of the proposed family against other methods under similar test conditions. All the numerical results show that the proposed family converges very fast in complex and difficult problems as compared to other well-known methods. The methods in the proposed family have an efficiency improvement of 11.99% over the classical Newton method for scalar nonlinear equations.
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一类新的二十阶收敛方法及其在工程非线性系统中的应用
本文提出了一类求解非线性方程和系统的强收敛阶迭代方法。一个简单的策略是混合一些现有的方法来开发所提出的家族。理论的收敛阶是用泰勒级数推导出来的。通过将所提出的迭代方法应用于实际工程问题,检验了所提出的迭代方法的性能。求解了NASA为“风”号卫星发射和其他一些复杂应用系统(如燃烧问题、罐堆问题、运动综合机构、神经生理学应用和一个边值问题)建模的非线性方程,并与其他方法在类似测试条件下的性能进行了比较。所有的数值结果表明,与其他已知的方法相比,该族在复杂和困难的问题上收敛速度非常快。本文提出的方法比经典牛顿法求解标量非线性方程的效率提高了11.99%。
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来源期刊
自引率
0.00%
发文量
76
审稿时长
40 weeks
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