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A New Algorithm for Solving Nonlinear Equations by Using Least Square Method

机译:最小二乘解非线性方程组的新算法

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Finding the roots of nonlinear algebraic equations is an important problem in science and engineering, later many methods have been developed for solving nonlinear equations. These methods are given [1-27], in this paper, a new Algorithm for solving nonlinear algebraic equations is obtained by using least square method by fitting a polynomial form of degree two (or parabolic form). This paper compares the present method with the method given by Jutaporn N, Bumrungsak P and Apichat N, 2016 [1], which was used nonlinear regression method in form of logarithm function. We verified on a number of examples and numerical results obtained show that the present method is faster than the method, which used the logarithm function given by [1].
机译:寻找非线性代数方程的根是科学和工程学中的重要问题,后来开发了许多方法来求解非线性方程。给出了这些方法[1-27],在本文中,通过使用最小二乘法拟合二阶多项式形式(或抛物线形式),获得了一种求解非线性代数方程的新算法。本文将本方法与Jutaporn N,Bumrungsak P和Apichat N,2016 [1]给出的方法进行了比较,后者以对数函数的形式使用了非线性回归方法。我们通过大量的例子进行了验证,获得的数值结果表明,该方法比使用[1]给出的对数函数的方法要快。

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