This article is dedicated to analyzing the heat transfer in the flow of water-based nanofluids in a channel with non-parallel stretchable walls. The magnetohydrodynamic (MHD) nature of the flow is considered. Equations governing the flow are transformed into a system of nonlinear ordinary differential equations. The said system is solved by employing two different techniques, the variational it...

The Lotka–Volterra model of competition has been studied by numerical simulations using the Runge–Kutta–Fehlberg algorithm. stable fixed points, unstable point, saddle node, basins attraction, and separatices are found. transient behaviors associated with reaching point systematically. It is observed that time in any one attraction depends strongly on initial distance from separatrix. As approa...

In the present paper an attempt is made for the solution of SDE (Stochastic differential equation ) using different numerical simulation . Here the four different technique has been adopt for the two test problem for the verification process . Main emphasis is given on the RKM (Runge kutta Method) in which the solution has minimum number of absolute error .i.e more accurate then other. some of ...

Introduction PACT Abstract A parallel implementation for multi-implicit Runge-Kutta methods with real eigen-values is described. The parallel method is analysed and the algorithm is devised. For the problem with d domains, the amount within the s-stage Runge-Kutta method, associated with the solution of system, is proportional to (sd) 3. The proposed parallelisation transforms the above system ...

Abstract An efficiency of the generalized tenth order stochastic perturbation technique in determination basic probabilistic characteristics up to fourth dynamic response Euler-Bernoulli beams with Gaussian uncertain damping is verified this work. This done on civil engineering application a two-bay reinforced concrete beam using Stochastic Finite Element Method implementation and its contrast ...

Exponential Runge–Kutta methods constitute efficient integrators for semilinear stiff problems. So far, however, explicit exponential Runge–Kutta methods are available in the literature up to order 4 only. The aim of this paper is to construct a fifth-order method. For this purpose, we make use of a novel approach to derive the stiff order conditions for high-order exponential methods. This all...

The flow and heat transfer of Jeffrey nanofluid over a stretching sheet with non-uniform source/sink is considered in the present analysis. Effects nonlinear thermal radiation second order slip are taken along uniform magnetic field. System partial differential equations governing described problem reduced to ordinary aid similarity transformations. Further, solved numerically using Runge-Kutta...

This paper deals with the stability of Runge–Kutta methods for a class of stiff systems of nonlinear Volterra delay-integro-differential equations. Two classes of methods are considered: Runge–Kutta methods extended with a compound quadrature rule, and Runge– Kutta methods extended with a Pouzet type quadrature technique. Global and asymptotic stability criteria for both types of methods are de...

A Runge–Kutta method takes small time steps, to approximate the solution to an initial value problem. How accurate is this approximation? If the error is asymptotically proportional to hp, where h is the stepsize, the Runge–Kutta method is said to have “order” p. To find p, write the exact solution, after a single time-step, as a Taylor series, and compare with the Taylor series for the approxi...

The RK1GL2X3 method is a numerical method for solving initial value problems in ordinary differential equations, and is based on the RK1GL2 method which, in turn, is a particular case of the general RKrGLm method. The RK1GL2X3 method is a fourth-order method, even though its underlying Runge-Kutta method RK1 is the first-order Euler method, and hence, RK1GL2X3 is considerably more efficient tha...