Multipurpose modified iterative solver for nonlinear equations

IF 0.6 Q3 ENGINEERING, MULTIDISCIPLINARY Mehran University Research Journal of Engineering and Technology Pub Date : 2023-07-21 DOI:10.22581/muet1982.2303.17
Saher Afshan, A. H. Sheikh, Fatima Riaz, R. B. Khokhar
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Abstract

Non-linear Eq.s occur as a sub-problem in a wide variety of engineering and scientific domains. To deal with the complexity of Non-linear Eq.s, it is often required to use numerical procedures, which are the most suitable method to employ in certain circumstances. Many classic iterative approaches have been regularly employed for various situations; nevertheless, the convergence rate of those methods is low. In many cases, an iterative approach with a faster convergence rate is needed. This is something that classical methods like the Newton-Raphson Method (NRM) cannot provide. As part of this investigation, a modification to the NRM has been suggested to speed up convergence rates and reduce computational time. Ultimately, this research aims to improve the NRM, resulting in a Modified Iterative Method (MIM). The proposed method was thoroughly examined. According to the research, the convergence rate is higher than that of NRM. The proposed method delivers more accurate results while reducing computational time and requiring fewer iterations than earlier methods. The numerical findings confirm that the promised performance is correct. The results include the number of iterations, residuals, and computing time. This innovative technique, which is appropriate to any Non-linear equation, produces more accurate approximations with less iteration than conventional methods, and it is appropriate to any Non-linear equation.
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非线性方程的多用途修正迭代求解器
非线性方程作为一个子问题出现在各种各样的工程和科学领域中。为了处理非线性方程的复杂性,通常需要使用数值程序,这是在某些情况下最适合使用的方法。许多经典的迭代方法经常用于各种情况;然而,这些方法的收敛速度很低。在许多情况下,需要具有更快收敛速度的迭代方法。这是牛顿-拉斐逊方法(NRM)等经典方法无法提供的。作为这项研究的一部分,建议对NRM进行修改,以加快收敛速度并减少计算时间。最终,本研究旨在改进NRM,提出一种改进的迭代方法(MIM)。对所提出的方法进行了彻底的审查。研究表明,该算法的收敛速度高于NRM算法。与早期方法相比,所提出的方法在减少计算时间和需要更少迭代的同时,提供了更准确的结果。数值结果证实了承诺的性能是正确的。结果包括迭代次数、残差和计算时间。这种创新技术适用于任何非线性方程,与传统方法相比,迭代次数更少,可以产生更准确的近似值,适用于任何线性方程。
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0.00%
发文量
76
审稿时长
40 weeks
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