International audienceIn this work, we adapt the micro-macro methodology to stochastic differential equations for the purpose of numerically solving oscillatory evolution equations. The models we consider are addressed in a wide spectrum of regimes where oscillations may be slow or fast. We show that through an ad-hoc transformation (the micro-macro decomposition), it is possible to retain the usual orders of convergence of Euler-Maruyama method, that is to say, uniform weak order one and uniform strong order one half
The recent article [2] reveals the strong convergence of the Euler-Maruyama solution to the exact so...
Abstract: Stochastic differential equations provide a useful means of intro-ducing stochasticity int...
We consider an Euler-Maruyama type approximation methods for a Stochastic Differential Equation (SDE...
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 the strong convergence order of the Euler-Maruyama scheme for scalar stochastic differentia...
International audienceWe introduce a new methodology to design uniformly accurate methods for oscil-...
We introduce a new methodology to design uniformly accurate methods for oscillatory evolution equati...
The Euler-Maruyama method is applied to a simple stochastic differential equation (SDE) with discont...
35 pages, 6 figures. Submitted to Annals of Applied ProbabilityInternational audienceWe propose an a...
International audienceWe consider an Euler-Maruyama type approximation method for a stochastic diffe...
The understanding of adaptive algorithms for stochastic differential equations (SDEs) is an open are...
In this article, we construct and analyse an explicit numerical splitting method for a class of semi...
International audienceIn this article, we construct and analyse an explicit numerical splitting meth...
We discuss through multiple numerical examples the accuracy and efficiency of a micro-macro accelera...
The recent article [2] reveals the strong convergence of the Euler-Maruyama solution to the exact so...
Abstract: Stochastic differential equations provide a useful means of intro-ducing stochasticity int...
We consider an Euler-Maruyama type approximation methods for a Stochastic Differential Equation (SDE...
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 the strong convergence order of the Euler-Maruyama scheme for scalar stochastic differentia...
International audienceWe introduce a new methodology to design uniformly accurate methods for oscil-...
We introduce a new methodology to design uniformly accurate methods for oscillatory evolution equati...
The Euler-Maruyama method is applied to a simple stochastic differential equation (SDE) with discont...
35 pages, 6 figures. Submitted to Annals of Applied ProbabilityInternational audienceWe propose an a...
International audienceWe consider an Euler-Maruyama type approximation method for a stochastic diffe...
The understanding of adaptive algorithms for stochastic differential equations (SDEs) is an open are...
In this article, we construct and analyse an explicit numerical splitting method for a class of semi...
International audienceIn this article, we construct and analyse an explicit numerical splitting meth...
We discuss through multiple numerical examples the accuracy and efficiency of a micro-macro accelera...
The recent article [2] reveals the strong convergence of the Euler-Maruyama solution to the exact so...
Abstract: Stochastic differential equations provide a useful means of intro-ducing stochasticity int...
We consider an Euler-Maruyama type approximation methods for a Stochastic Differential Equation (SDE...