In this work, we are going to obtain approximate solutions for Lie ́nard equations using He's variational iteration method. This method proves to be very promising for obtaining approximate solutions for this kind of equations. We also demonstrate the superiority of variational iteration method over the decomposition method for this type of equations providing numerical comparisons.

In this paper, we suggest and analyze a new family of iterative methods for finding zeros of multiplicity of nonlinear equations by using the variational iteration technique. These new methods include the Halley method and its variants forms as special cases. We also give several examples to illustrate the efficiency of these methods. Comparison with modified Newton method is also given. These ...

This paper investigates the implementation of Variational Iteration Method (VIM) to practical and higher order nonlinear equations in kind of Korteweg-de-Vries (KdV) equation. The obtained solutions from thirdand fourth-order modified KdV are compared with the exact and Homotopy Perturbation Method (HPM) solutions. Results illustrate the efficiency and capability of VIM to solve high order nonl...

In this paper, we consider variational iteration method (VIM) to obtain exact solution to the Fisher’s equation. The variational iteration method is based on Lagrange multipliers for identification of optimal value of parameters in a functional. Using this method, it is possible to find the exact solution or an approximate solution of the problem.

in this paper, he's highly proli c variational iteration method is applied ef-fectively for showing the existence, uniqueness and solving a class of singularsecond order two point boundary value problems. the process of nding solu-tion involves generation of a sequence of appropriate and approximate iterativesolution function equally likely to converge to the exact solution of the givenpr...

A system of nonlinear partial differential equations was solved using a modified variational iteration method (MVIM) combined with genetic algorithm. The introduced an auxiliary parameter (p) in the correction functional to ensure convergence and improve outcomes. Before applying modification, traditional (VIM) used firstly. applied numerically solve Schrödinger-KdV equations. By comparing two ...