A family of embedded Runge-Kutta formulae
J. R. Dormand,P.J. Prince +1 more
TLDR
In this article, a family of embedded Runge-Kutta formulae RK5 (4) are derived from these and a small principal truncation term in the fifth order and extended regions of absolute stability.About:
This article is published in Journal of Computational and Applied Mathematics.The article was published on 1980-03-01 and is currently open access. It has received 3106 citations till now.read more
Citations
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RBF-PS scheme for solving the equal width equation
TL;DR: The equal width equation is solved by a RBF-PS scheme, and the radial kernels are used to transform the PDE into a system of ODEs.
Journal ArticleDOI
Discontinuous Galerkin error estimation for linear symmetrizable hyperbolic systems
Slimane Adjerid,Thomas Weinhart +1 more
TL;DR: An a posteriori error analysis for the discontinuous Galerkin discretization error of first-order linear symmetrizable hyperbolic systems of partial differential equations with smooth solutions and asymptotically exact estimates of the finite element error are presented.
Journal ArticleDOI
A family of eight-step methods with vanished phase-lag and its derivatives for the numerical integration of the Schrödinger equation
TL;DR: In this paper, a family of algebraic order eight-step methods for the numerical solution of the one dimensional Schrodinger equation is presented, and the efficiency of the new methodology is proved via theoretical analysis and numerical applications.
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Implementation of an Adaptive BDF2 Formula and Comparison with the MATLAB Ode15s
TL;DR: This work has focused on the second order accurate and unconditionally stable BDF (BDF2) and implemented a real adaptive step size BDF2 algorithm using the same strategy as the B DF2 implemented in the ode15s, resulting the new algorithm more efficient than the one implemented in MATLAB.
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Parameter estimation of influenza epidemic model
TL;DR: SEIRS and SVEIRS epidemic models are considered here to capture the main characteristic of transmission of influenza epidemic governed by a system of differential equations and reflect considerably the dynamical behavior of the influenza epidemic field data used.
References
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Comparing Numerical Methods for Ordinary Differential Equations
TL;DR: According to criteria involving the number of function evaluations, overhead cost, and reliability, the best general-purpose method, if function evaluations are not very costly, is one due to Bulirsch and Stoer, however, when function evaluated methods are relatively expensive, variable-order methods based on Adams formulas are best.
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Coefficients for the study of Runge-Kutta integration processes
TL;DR: In this paper, a set of η first order simultaneous differential equations in the dependent variables y 1, y 2, y 3, y 4, y 5, y 6 and the independent variable x is considered.
Classical Fifth-, Sixth-, Seventh-, and Eighth-Order Runge-Kutta Formulas with Stepsize Control
TL;DR: Runge-Kutta formulas of high order with stepsize control through leading truncation error term through leading parallelogram error term.
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