Backward error analysis is a useful tool for the study of numerical approximations to ordinary differential equations. The numerical solution is formally interpreted as the exact solution of a perturbed differential equation, given as a formal and usually divergent series in powers of the step size. For a rigorous analysis, this series has to be truncated. In this article we study the influence of this truncation to the difference between the numerical solution and the exact solution of the perturbed differential equation. Results on the long-time behaviour of numerical solutions are obtained in this way. We present applications to the numerical phase portrait near hyperbolic equilibrium points, to asymptotically stable periodic orbits and ...
Several recently developed multisymplectic schemes for Hamiltonian PDEs have been shown to preserve ...
Several recently developed multisymplectic schemes for Hamiltonian PDEs have been shown to preserve ...
In this paper we consider the impact of using time marching numerical schemes for computing asympt...
Backward error analysis has become an important tool for understanding the long time behavior of num...
Abstract. Backward error analysis has become an important tool for understanding the long time behav...
For numerical integrators of ordinary differential equations we compare the theory of asymptotic exp...
Asymptotic expansions and backward analysis for numerical integrators HAIRER, Ernst, LUBICH, Christi...
This article reviews the application of various notions from the theory of dynamical systems to the ...
A backward analysis of integration methods, whose numerical solution is a P-series, is presented. Su...
Much effort is put into the construction of general linear methods with the aim of achieving an exce...
In backward error analysis, an approximate solution to an equation is compared to the exact solution...
International audienceIn philosophical studies regarding mathematical models of dynamical systems, i...
Abstract: The main goal of this research is to identify mathematical models that describe the behavi...
Backward error analysis has proven to be very useful in stability anal-ysis of numerical methods for...
. Long-time error estimates are abstractly given for a large class of initial value problems without...
Several recently developed multisymplectic schemes for Hamiltonian PDEs have been shown to preserve ...
Several recently developed multisymplectic schemes for Hamiltonian PDEs have been shown to preserve ...
In this paper we consider the impact of using time marching numerical schemes for computing asympt...
Backward error analysis has become an important tool for understanding the long time behavior of num...
Abstract. Backward error analysis has become an important tool for understanding the long time behav...
For numerical integrators of ordinary differential equations we compare the theory of asymptotic exp...
Asymptotic expansions and backward analysis for numerical integrators HAIRER, Ernst, LUBICH, Christi...
This article reviews the application of various notions from the theory of dynamical systems to the ...
A backward analysis of integration methods, whose numerical solution is a P-series, is presented. Su...
Much effort is put into the construction of general linear methods with the aim of achieving an exce...
In backward error analysis, an approximate solution to an equation is compared to the exact solution...
International audienceIn philosophical studies regarding mathematical models of dynamical systems, i...
Abstract: The main goal of this research is to identify mathematical models that describe the behavi...
Backward error analysis has proven to be very useful in stability anal-ysis of numerical methods for...
. Long-time error estimates are abstractly given for a large class of initial value problems without...
Several recently developed multisymplectic schemes for Hamiltonian PDEs have been shown to preserve ...
Several recently developed multisymplectic schemes for Hamiltonian PDEs have been shown to preserve ...
In this paper we consider the impact of using time marching numerical schemes for computing asympt...