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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Performance Assessment and Translation of Physiologically Based Pharmacokinetic Models From acslX to Berkeley Madonna, MATLAB, and R Language: Oxytetracycline and Gold Nanoparticles As Case Examples.
Zhoumeng Lin,Majid Jaberi-Douraki,Majid Jaberi-Douraki,Chunla He,Shiqiang Jin,Shiqiang Jin,Raymond S. H. Yang,Jeffrey W. Fisher,Jim E. Riviere +8 more
TL;DR: This tutorial helps beginners learn PBPK modeling, provides suggestions for selecting a suitable tool for future projects, and may lead to the transition from acslX to alternative modeling tools.
Journal ArticleDOI
The Natural 3D Spiral
Gur Harary,Ayellet Tal +1 more
TL;DR: This paper presents a novel mathematical definition of a 3D logarithmic spiral, which provides a proper description of objects found in nature and proves that the spiral satisfies several desirable properties, including invariance to similarity transformations, smoothness, symmetry, extensibility, and roundness.
Proceedings Article
Riemannian Score-Based Generative Modeling
Valentin De Bortoli,Emile Mathieu,Michael Hutchinson,James P. Thornton,Yee Whye Teh,Arnaud Doucet +5 more
TL;DR: RSGMs are introduced, a class of generative models extending SGMs to compact Riemannian manifolds and demonstrating their approach on a variety of manifolds, and in particular with earth and climate science spherical data.
Journal ArticleDOI
Embedded Runge–Kutta scheme for step-size control in the interaction picture method
TL;DR: An embedded Runge–Kutta scheme with orders 3 and 4 is presented with the aim to deliver an estimation of the local error for adaptive step-size control purposes in the Interaction Picture method and provides a local error estimate at no significant extra cost.
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High algebraic order methods with vanished phase-lag and its first derivative for the numerical solution of the Schrödinger equation
TL;DR: In this paper, a high algebraic order multistep method is developed for the approximate solution of the radial Schrodinger equation, which is applied for error analysis and numerical applications.
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.
Journal ArticleDOI
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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