2017
DOI: 10.14317/jami.2017.191
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A New Fifth-Order Weighted Runge-Kutta Algorithm Based on Heronian Mean for Initial Value Problems in Ordinary Differential Equations

Abstract: A new fifth-order weighted Runge-Kutta algorithm based on heronian mean for solving initial value problem in ordinary differential equations is considered in this paper. Comparisons in terms of numerical accuracy and size of the stability region between new proposed Runge-Kutta(5,5) algorithm, Runge-Kutta (5,5) based on Harmonic Mean, Runge-Kutta(5,5) based on Contra Harmonic Mean and Runge-Kutta(5,5) based on Geometric Mean are carried out as well. The problems, methods and comparison criteria are specified v… Show more

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Cited by 5 publications
(3 citation statements)
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“…Problem Consider the following nonlinear IVP for the Logistic growth: 54 y(t)=y(t)4(1y(t)20),y(0)=1,0t2.0, with exact solution y(t)=201+19exp(t4).…”
Section: Numerical Dynamics With Results and Discussionmentioning
confidence: 99%
“…Problem Consider the following nonlinear IVP for the Logistic growth: 54 y(t)=y(t)4(1y(t)20),y(0)=1,0t2.0, with exact solution y(t)=201+19exp(t4).…”
Section: Numerical Dynamics With Results and Discussionmentioning
confidence: 99%
“…Having explained the entire process, we discuss the adaptive step-size approach in the following way. From (43), we obtain: .…”
Section: Adaptive Step-size Approachmentioning
confidence: 99%
“…The a nonlinear mid-point rule formula based on geometric means (GM) for the numerical solution of differential equations ( , ) y f x y ′ = was presented [11] with supporting numerical results. However, the New fifth order weighted Runge -kutta methods based on the Heronian mean for initial value problems in ordinary differential equations was developed and implemented [12]. In the paper Comparisons in terms of numerical accuracy and size of the stability region between new proposed Runge-Kutta(5,5) algorithm, Runge-Kutta (5,5) based on Harmonic Mean, Runge-Kutta (5,5) based on Contra Harmonic Mean and Runge-Kutta (5,5) based on Geometric Mean where also investigated.…”
Section: Introductionmentioning
confidence: 99%