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Quadratically convergent algorithm for computing real root of non-linear transcendental equations

机译:计算非线性超越方程实根的二次收敛算法

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Abstract ObjectivesThe present paper describes a new algorithm to find a root of non-linear transcendental equations. It is found that Regula-Falsi method always gives guaranteed result but slow convergence. However, Newton–Raphson method does not give guaranteed result but faster than Regula-Falsi method. Therefore, the present paper used these two ideas and developed a new algorithm which has better convergence than Regula-Falsi and guaranteed result. One of the major issue in Newton–Raphson method is, it fails when first derivative is zero or approximately zero.ResultsThe proposed method implemented the failure condition of Newton–Raphson method with better convergence. Error calculation has been discussed for certain real life examples using Bisection, Regula-Falsi, Newton–Raphson method and new proposed method. The computed results show that the new proposed quadratically convergent method provides better convergence than other methods.
机译:摘要目的本文描述了一种寻找非线性先验方程根的新算法。发现Regula-Falsi方法总是能保证结果,但收敛速度较慢。但是,牛顿-拉夫森法不能保证结果,但是比Regula-Falsi法要快。因此,本文结合这两种思路,提出了一种新的算法,该算法具有比Regula-Falsi更好的收敛性,并且可以保证结果。牛顿-拉夫森法的一个主要问题是,当一阶导数为零或近似为零时,它就会失败。结果该方法实现了牛顿-拉夫森法的失效条件,具有更好的收敛性。已经使用Bisection,Regula-Falsi,Newton-Raphson方法和新提出的方法对某些实际示例中的误差计算进行了讨论。计算结果表明,新提出的二次收敛方法比其他方法具有更好的收敛性。

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