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Open AccessJournal ArticleDOI

A family of embedded Runge-Kutta formulae

J. R. Dormand, +1 more
- 01 Mar 1980 - 
- Vol. 6, Iss: 1, pp 19-26
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.
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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.

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Citations
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Lagrangian predictability assessed in the East China Sea

TL;DR: In this paper, a group of 30 surface drifters, launched over a 4-day period as part of a US Navy exercise in early October 2007, are used to assess the predictability of trajectories in a confined geographic region at the northwestern edge of the Kuroshio north of Taiwan.
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Achieving Seventh-Order Amplitude Accuracy in Leapfrog Integrations

TL;DR: In this paper, it was shown that leapfrog time-stepping over a suitably weighted blend of the filtered and unfiltered tendencies eliminates the third-order amplitude errors and yields fifth-order accuracy.
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An embedded runge–kutta method with phase-lag of order infinity for the numerical solution of the schrödinger equation

TL;DR: An embedded Runge-Kutta method with phase-lag of order infinity for the numerical integration of Schrodinger equation is developed in this paper, and the methods of the embedded scheme have algebraic orders five and four.
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Copper Retention Kinetics in Acid Soils

TL;DR: In this article, the retention and release kinetics of Cu on four acid Typic haplumbrepts developed on two different types of parent rock material (granite and amphibolite) were studied with a stirred-fl ow chamber (SFC) method.
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Forward and adjoint sensitivity analysis with continuous explicit Runge-Kutta schemes

TL;DR: This work proposes to use the dense output mechanism built in the continuous Runge–Kutta schemes as a highly accurate and cost-efficient interpolation method in the inverse problem run of adaptive time integration of nonlinear models.
References
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Journal ArticleDOI

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.