Benchmarking of ODE methods has a long tradition. Several sets of test problems have been developed and new problems are still collected. So, a whole variety of problems can be used to check the efficiency of a method under investigation. In general, efficiency is measured by the amount of work which is necessary to get a reliable solution for a pre-scribed accuracy. In order to quantify the term “amount of work ” usually not only the computing time is measured but also the number of calls of functional units. To quantify the term “quality of a numerical solution” usually the l2–norm of the true error at the final point of the integration interval is used. In our contribution we first discuss some general aspects of benchmarking. Then we pr...
A variety of third-order ODE solvers which have a minimum configuration (i.e. minimum work per step)...
In the last decade, two distinct directions have emerged in the way Ordinary Differential Equation (...
The computational uncertainty principle states that the numerical computation of nonlinear ordinary ...
Ordinary differential equation (ODE) models are a key tool to understand complex mechanisms in syste...
AbstractUntil recently, the testing of ODE/DAE software has been limited to simple comparisons and b...
Many beginning courses on ordinary differential equations have a computer laboratory component in wh...
Until recently, the testing of ODE/DAE software has been limited to simple comparisons and benchmark...
Part 4: UQ PracticeInternational audienceOne can reduce the uncertainty in the quality of an approxi...
AbstractAn extremely simple change to existing software for the solution of ordinary differential eq...
AbstractConsiderable work has been done comparing the relative efficiencies of linear multi-step, Ru...
During the last three decades, a vast variety of methods to numerically solve ordinary differential ...
In this paper, we introduce various numerical methods for the solutions of ordinary differential equ...
AbstractThe initial value problem for a family of ordinary differential equations (ODEs) depending o...
The study of systems of Ordinary Differential Equations aims at predicting the future of the conside...
Ordinary differential equations (ODEs), and the systems of such equations, are used for describing m...
A variety of third-order ODE solvers which have a minimum configuration (i.e. minimum work per step)...
In the last decade, two distinct directions have emerged in the way Ordinary Differential Equation (...
The computational uncertainty principle states that the numerical computation of nonlinear ordinary ...
Ordinary differential equation (ODE) models are a key tool to understand complex mechanisms in syste...
AbstractUntil recently, the testing of ODE/DAE software has been limited to simple comparisons and b...
Many beginning courses on ordinary differential equations have a computer laboratory component in wh...
Until recently, the testing of ODE/DAE software has been limited to simple comparisons and benchmark...
Part 4: UQ PracticeInternational audienceOne can reduce the uncertainty in the quality of an approxi...
AbstractAn extremely simple change to existing software for the solution of ordinary differential eq...
AbstractConsiderable work has been done comparing the relative efficiencies of linear multi-step, Ru...
During the last three decades, a vast variety of methods to numerically solve ordinary differential ...
In this paper, we introduce various numerical methods for the solutions of ordinary differential equ...
AbstractThe initial value problem for a family of ordinary differential equations (ODEs) depending o...
The study of systems of Ordinary Differential Equations aims at predicting the future of the conside...
Ordinary differential equations (ODEs), and the systems of such equations, are used for describing m...
A variety of third-order ODE solvers which have a minimum configuration (i.e. minimum work per step)...
In the last decade, two distinct directions have emerged in the way Ordinary Differential Equation (...
The computational uncertainty principle states that the numerical computation of nonlinear ordinary ...