Inspired by recent advances in the theory of modified differential equations, we propose a new methodology for constructing numerical integrators with high weak order for the time integration of stochastic differential equations. This approach is illustrated with the constructions of new methods of weak order two, in particular, semi-implicit integrators well suited for stiff (mean-square stable) stochastic problems, and implicit integrators that exactly conserve all quadratic first integrals of a stochastic dynamical system. Numerical examples confirm the theoretical results and show the versatility of our methodology
The paper considers numerical stability and convergence of weak schemes solving stochastic different...
UnrestrictedLevy processes are the simplest generic class of processes having a.s. continuous paths ...
International audienceWe introduce two drift-diagonally-implicit and derivative-free integrators for...
International audienceInspired by recent advances in the theory of modified differential equations, ...
Inspired by recent advances in the theory of modified differential equations, we propose a new metho...
Inspired by recent advances in the theory of modified differential equations, we propose a new metho...
Inspired by recent advances in the theory of modified differential equations, we propose a new metho...
In this paper we describe a general framework for deriving modified equations for stochastic differe...
Models based on SDEs have applications in many disciplines, but in pratical applications calculating...
We address the weak numerical solution of stochastic differential equations driven by independent Br...
This article addresses the weak convergence of numerical methods for Brownian dynamics. Typical an...
We introduce new sufficient conditions for a numerical method to approximate with high order of accu...
We propose a new approach to constructing weak numerical methods for finding solutions to stochastic...
International audienceWe introduce new sufficient conditions for a numerical method to approximate w...
AbstractThe paper deals with weak approximations of stochastic differential equations of Itô type, w...
The paper considers numerical stability and convergence of weak schemes solving stochastic different...
UnrestrictedLevy processes are the simplest generic class of processes having a.s. continuous paths ...
International audienceWe introduce two drift-diagonally-implicit and derivative-free integrators for...
International audienceInspired by recent advances in the theory of modified differential equations, ...
Inspired by recent advances in the theory of modified differential equations, we propose a new metho...
Inspired by recent advances in the theory of modified differential equations, we propose a new metho...
Inspired by recent advances in the theory of modified differential equations, we propose a new metho...
In this paper we describe a general framework for deriving modified equations for stochastic differe...
Models based on SDEs have applications in many disciplines, but in pratical applications calculating...
We address the weak numerical solution of stochastic differential equations driven by independent Br...
This article addresses the weak convergence of numerical methods for Brownian dynamics. Typical an...
We introduce new sufficient conditions for a numerical method to approximate with high order of accu...
We propose a new approach to constructing weak numerical methods for finding solutions to stochastic...
International audienceWe introduce new sufficient conditions for a numerical method to approximate w...
AbstractThe paper deals with weak approximations of stochastic differential equations of Itô type, w...
The paper considers numerical stability and convergence of weak schemes solving stochastic different...
UnrestrictedLevy processes are the simplest generic class of processes having a.s. continuous paths ...
International audienceWe introduce two drift-diagonally-implicit and derivative-free integrators for...