Robust defect control with Runge-Kutta schemes
SIAM Journal on Numerical Analysis
Runge-Kutta defect control using Hermite-Birkhoff interpolation
SIAM Journal on Scientific and Statistical Computing
A simple step size selection algorithm for ODE codes
Journal of Computational and Applied Mathematics
Control theoretic techniques for stepsize selection in explicit Runge-Kutta methods
ACM Transactions on Mathematical Software (TOMS)
Control of local error stabilizes integrations
Journal of Computational and Applied Mathematics
Runge-Kutta Software with Defect Control four Boundary Value ODEs
SIAM Journal on Scientific Computing
SIAM Journal on Scientific Computing
Structure Preservation for Constrained Dynamics with Super Partitioned Additive Runge--Kutta Methods
SIAM Journal on Scientific Computing
Global Error Estimates for Ordinary Differential Equations
ACM Transactions on Mathematical Software (TOMS)
Algorithm 504: GERK: Global Error Estimation For Ordinary Differential Equations [D]
ACM Transactions on Mathematical Software (TOMS)
Continuous numerical methods for ODEs with defect control
Journal of Computational and Applied Mathematics - Special issue on numerical anaylsis 2000 Vol. VI: Ordinary differential equations and integral equations
A BVP solver based on residual control and the Maltab PSE
ACM Transactions on Mathematical Software (TOMS)
Numerical Initial Value Problems in Ordinary Differential Equations
Numerical Initial Value Problems in Ordinary Differential Equations
Journal of Computational Physics
Computational error handling as aspects: a case study
Proceedings of the 1st workshop on Linking aspect technology and evolution
Journal of Computational Physics
Global Error Control in Adaptive Nordsieck Methods
SIAM Journal on Scientific Computing
Computers in Biology and Medicine
Dynamic implicit 3D adaptive mesh refinement for non-equilibrium radiation diffusion
Journal of Computational Physics
Local and global error estimation and control within explicit two-step peer triples
Journal of Computational and Applied Mathematics
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This article is about the numerical solution of initial value problems for systems of ordinary differential equations. At first these problems were solved with a fixed method and constant step size, but nowadays the general-purpose codes vary the step size, and possibly the method, as the integration proceeds. Estimating and controlling some measure of error by variation of step size/method inspires some confidence in the numerical solution and makes possible the solution of hard problems. Common ways of doing this are explained briefly in the article