Dynamic nonlinear systems put the problem of determining the response of the system. Numerical methods are frequently employed, as for example the regressive form of the Newton interpolation equation, generating extrapolation algorithms and predictor corrector algorithms. Runge-Kutta (R-R) algorithms or one step methods offer a solution in two distinct ways depending on the rank of the integration step and the identification of the coefficients. The paper presents a qualitative study of high-order Runge-Kutta algorithms and a method to solve high order R-K coefficient system. Using a tool for solving equation systems developed by the authors(EQUATIONS program), several tests were conducted to evaluate the performance of high-order R-K algorithms. Copyright (C) 1998 IFAC.
机构:
Department of Mathematics, University of Benin, P.M.B. 1154, Benin City, Edo StateDepartment of Mathematics, University of Benin, P.M.B. 1154, Benin City, Edo State
Okuonghae R.I.
Ikhile M.N.O.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Mathematics, University of Benin, P.M.B. 1154, Benin City, Edo StateDepartment of Mathematics, University of Benin, P.M.B. 1154, Benin City, Edo State
机构:
Department of Mathematics, Science and Research Branch, Islamic Azad University, TehranDepartment of Mathematics, Science and Research Branch, Islamic Azad University, Tehran
Abbasbandy S.
论文数: 引用数:
h-index:
机构:
Allahviranloo T.
Darabi P.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Mathematics, Science and Research Branch, Islamic Azad University, TehranDepartment of Mathematics, Science and Research Branch, Islamic Azad University, Tehran