International audienceWe introduce a class of numerical methods for highly oscillatory systems of stochastic differential equations with general noncommutative noise. We prove global weak error bounds of order two uniformly with respect to the stiffness of the oscillations, which permits to use large time steps. The approach is based on the micro-macro framework of multi-revolution composition methods recently introduced for deterministic problems and inherits its geometric features, in particular to design integrators preserving exactly quadratic first integral. Numerical experiments, including the stochastic nonlinear Schrödinger equation with space-time multiplicative noise, illustrate the performance and versatility of the approach
International audienceIn this paper, we are concerned with the application of the recently introduce...
We introduce a new methodology based on the multirevolution idea for constructing integrators for st...
Stochastic models that account for sudden, unforeseeable events play a crucial role in many differen...
International audienceWe introduce a class of numerical methods for highly oscillatory systems of st...
We introduce a class of numerical methods for highly oscillatory systems of stochastic differential ...
International audienceIn this work, we adapt the micro-macro methodology to stochastic differential ...
In this work, we adapt the {\em micro-macro} methodology to stochastic differential equations for th...
We study a class of numerical methods for a system of second-order SDE driven by a linear fast force...
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...
We consider linear multi-step methods for stochastic ordinary differential equations and study their...
The ability of numerical methods to reproduce long-time features of a linear stochastic oscillator i...
Inspired by recent advances in the theory of modified differential equations, we propose a new metho...
AbstractA class of explicit stochastic Runge–Kutta (SRK) methods for Stratonovich stochastic differe...
AbstractWe consider linear multi-step methods for stochastic ordinary differential equations and stu...
International audienceIn this paper, we are concerned with the application of the recently introduce...
We introduce a new methodology based on the multirevolution idea for constructing integrators for st...
Stochastic models that account for sudden, unforeseeable events play a crucial role in many differen...
International audienceWe introduce a class of numerical methods for highly oscillatory systems of st...
We introduce a class of numerical methods for highly oscillatory systems of stochastic differential ...
International audienceIn this work, we adapt the micro-macro methodology to stochastic differential ...
In this work, we adapt the {\em micro-macro} methodology to stochastic differential equations for th...
We study a class of numerical methods for a system of second-order SDE driven by a linear fast force...
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...
We consider linear multi-step methods for stochastic ordinary differential equations and study their...
The ability of numerical methods to reproduce long-time features of a linear stochastic oscillator i...
Inspired by recent advances in the theory of modified differential equations, we propose a new metho...
AbstractA class of explicit stochastic Runge–Kutta (SRK) methods for Stratonovich stochastic differe...
AbstractWe consider linear multi-step methods for stochastic ordinary differential equations and stu...
International audienceIn this paper, we are concerned with the application of the recently introduce...
We introduce a new methodology based on the multirevolution idea for constructing integrators for st...
Stochastic models that account for sudden, unforeseeable events play a crucial role in many differen...