Variational Iteration Method

B. Batiha
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引用次数: 13

Abstract

Differential equations are encountered in various fields such as physics, chemistry, biology, mathematics and engineering. Most nonlinear models of real-life problems are still very difficult to solve either numerically or theoretically. Many unrealistic assumptions have to be made to make nonlinear models solvable. There has recently been much attention devoted to the search for better and more efficient solution methods for determining a solution, approximate or exact, analytical or numerical, to nonlinear models. Finding exact/approximate solutions of these nonlinear equations are interesting and important. One of these methods is variational iteration method (VIM), which has been proposed by Ji-Huan He in 1997 based on the general Lagrange’s multiplier method. The main feature of the method is that the solution of the linearized problem is used as the initial approximation for the linear and nonlinear problems. Then a more highly precise approximation at some special point can be obtained. This approximation converges rapidly to an accurate solution. VIM is very powerful and efficient in finding analytical as well as numerical solutions for a wide class of differential equation
变分迭代法
微分方程在物理、化学、生物、数学和工程等各个领域都有应用。大多数现实问题的非线性模型无论是在数值上还是理论上都很难解决。为了使非线性模型可解,必须做出许多不切实际的假设。最近,人们非常关注寻找更好和更有效的求解方法来确定非线性模型的近似解或精确解,解析解或数值解。寻找这些非线性方程的精确/近似解是有趣和重要的。其中一种方法是变分迭代法(VIM),该方法是何继欢于1997年在一般拉格朗日乘子法的基础上提出的。该方法的主要特点是将线性化问题的解作为线性和非线性问题的初始逼近。然后,在某一特殊点上可以得到更精确的近似值。这个近似很快收敛到一个精确的解。VIM在寻找一类广泛的微分方程的解析解和数值解方面非常强大和有效
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