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
More filters
High-performance high-order simulation of wave and plasma phenomena
TL;DR: This thesis presents results aiming to enhance and broaden the applicability of the discontinuous Galerkin (DG) method in a variety of ways and introduces new explicit multi-rate time integrators for ordinary differential equations with multiple time scales, with a focus on applicability to DG discretizations of time-dependent problems.
Journal ArticleDOI
Lead-Lag Damper Robustness Analysis for Helicopter Ground Resonance
TL;DR: In this article, the robustness of the ground resonance problem is analyzed in a form that isolates a closed loop containing the lead-lag damper, which is considered the uncertain component.
Posted Content
Minimal model of cellular symmetry breaking
TL;DR: It is shown that coupling of the active surface to a passive bulk fluid enables spontaneous polarization and the formation of a contractile ring on the surface via mechanochemical instabilities.
Posted Content
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients.
TL;DR: A provably stable architecture for Neural Ordinary Differential Equations (ODEs) which achieves non-trivial adversarial robustness under white-box adversarial attacks even when the network is trained naturally, and Inspired by dynamical system theory, a stabilized neural ODE network named SONet whose ODE blocks are skew-symmetric and proved to be input-output stable.
Journal ArticleDOI
Parameter estimation of the FitzHugh-Nagumo model using noisy measurements for membrane potential
TL;DR: This paper proposes an identification method to estimate the parameters of the FitzHugh-Nagumo (FHN) model for a neuron using noisy measurements available from a voltage-clamp experiment, and demonstrates the effectiveness of the proposed method.
References
More filters
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.
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.
Related Papers (5)
Symmetric Multistep Methods for the Numerical Integration of Planetary Orbits
Gerald D. Quinlan,Scott Tremaine +1 more