Optimal Parametric Iteration Method for Solving Multispecies Lotka-Volterra Equations

Optimal Parametric Iteration Method for Solving Multispecies Lotka-Volterra Equations

We apply an analytical method called the Optimal Parametric Iteration Method OPIM to multispecies Lotka-Volterra equations. By using initial values, accurate explicit analytic solutions have been derived. The method does not depend upon small parameters and provides us with a convenient way to optimally control the convergence of the approximate solutions. An excellent agreement has been demons...

a parametric iteration method for solving lane-emden type equations

in this paper, an analytical method called the parametric iteration method (pim) is presented for solving the second-order singular ivps of lane-emden type, and its local convergence is discussed. since it is often useful to have an approximate analytical solution to describe the lane-emden type equa- tions, especially for ones where the closed-form solutions do not exist at all, therefore, an ...

Discrete Collocation Method for Solving Fredholm Volterra Intergro-Differential Equations

Homotopy Perturbation Method for the Coupled Fractional Lotka-volterra Equations

Fractional differential equations started to have important applications in various fields of science and engineering involving dynamics of complex phenomena. Finding new methods to solve the fractional differential equations is an open issue in the area of fractional calculus. In this paper the homotopy perturbation method is used to find an analytic approximate solution for the coupled Lotka-...

Periodic Lotka-Volterra competition equations.

The Lotka-Volterra competition equations with periodic coefficients derived from the MacArthur-Levins theory of a one-dimensional resource niche are studied when the parameters are allowed to oscillate periodically in time. Specifically, niche positions and widths, resource availability and resource consumption rates are allowed small amplitude periodicities around a specified mean value. Two o...