scholarly journals An approach for constructing one-point iterative methods for solving nonlinear equations of one variable

Author(s):  
А.Н. Громов

Предложен подход к построению одноточечных итерационных методов для решения нелинейных уравнений одного переменного. Подход основан на использовании понятия полюса в качестве особой точки и на применении критерия сходимости Коши. Показано, что такой подход приводит к новым итерационным процессам высшего порядка, которые имеют более широкую область сходимости по сравнению с известными методами. Доказаны теоремы сходимости и получены оценки скорости сходимости. Для многочленов, имеющих только действительные корни, итерационный процесс сходится для любого начального приближения. В общем случае для действительных корней трансцендентных уравнений сходимость имеет место при выборе начального приближения в окрестности корня. An approach for constructing one-point iterative methods for solving nonlinear equations of one variable is proposed. This approach is based on the concept of a pole as a singular point and on using Cauchy's convergence criterion. It is shown that such an approach leads to new iterative processes of higher order with larger convergence domains compared to the known iterative methods. Convergence theorems are proved and convergence rate estimates are obtained. For polynomials having only real roots, the iterative process converges for any initial approximation to the sought root. Generally, in the case of real roots of transcendental equations, the convergence takes place when an initial approximation is chosen near the sought root.

2015 ◽  
Vol 27 (5-6) ◽  
pp. 865-876 ◽  
Author(s):  
Diyashvir Kreetee Rajiv Babajee ◽  
Kalyanasundaram Madhu ◽  
Jayakumar Jayaraman

2013 ◽  
Vol 2 (2) ◽  
pp. 107-120
Author(s):  
Waseem Asghar Khan ◽  
Muhammad Aslam Noor ◽  
Adnan Rauf

SeMA Journal ◽  
2016 ◽  
Vol 74 (2) ◽  
pp. 133-146
Author(s):  
Sukhjit Singh ◽  
D. K. Gupta ◽  
Falguni Roy

2018 ◽  
Vol 14 (1) ◽  
pp. 179-187
Author(s):  
Jivandhar Jnawali ◽  
Chet Raj Bhatta

 The main purpose of this paper is to derive two higher order iterative methods for solving nonlinear equations as variants of Mir, Ayub and Rafiq method. These methods are free from higher order derivatives. We obtain these methods by amalgamating Mir, Ayub and Rafiq method with standard secant method and modified secant method given by Amat and Busquier. The order of convergence of new variants are four and six. Also, numerical examples are given to compare the performance of newly introduced methods with the similar existing methods. 2010 AMS Subject Classification: 65H05 Journal of the Institute of Engineering, 2018, 14(1): 179-187


Author(s):  
А.Н. Громов

Рассмотрен подход к построению расширения промежутка сходимости ранее предложенного обобщения метода Ньютона для решения нелинейных уравнений одного переменного. Подход основан на использовании свойства ограниченности непрерывной функции, определенной на отрезке. Доказано, что для поиска действительных корней вещественнозначного многочлена с комплексными корнями предложенный подход дает итерации с нелокальной сходимостью. Результат обобщен на случай трансцендентных уравнений. An approach to the construction of an extended interval of convergence for a previously proposed generalization of Newton's method to solve nonlinear equations of one variable. This approach is based on the boundedness of a continuous function defined on a segment. It is proved that, for the search for the real roots of a real-valued polynomial with complex roots, the proposed approach provides iterations with nonlocal convergence. This result is generalized to the case transcendental equations.


Author(s):  
Shuliang Huang ◽  
Arif Rafiq ◽  
Muhammad Rizwan Shahzad ◽  
Faisal Ali

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Amir Naseem ◽  
M. A. Rehman ◽  
Thabet Abdeljawad

In this paper, we proposed and analyzed three new root-finding algorithms for solving nonlinear equations in one variable. We derive these algorithms with the help of variational iteration technique. We discuss the convergence criteria of these newly developed algorithms. The dominance of the proposed algorithms is illustrated by solving several test examples and comparing them with other well-known existing iterative methods in the literature. In the end, we present the basins of attraction using some complex polynomials of different degrees to observe the fractal behavior and dynamical aspects of the proposed algorithms.


2018 ◽  
Vol 1 (2) ◽  
pp. 32-39
Author(s):  
Jivandhar Jnawali

Newton method is one of the most widely used numerical methods for solving nonlinear equations. McDougall and Wotherspoon [Appl. Math. Lett., 29 (2014), 20-25] modified this method in predictor-corrector form and get an order of convergence 1+√2. More on the PDF


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