The numerical methods are described in: Adrien Laurent, Gilles Vilmart, Multirevolution integrators for differential equations with fast stochastic oscillations, SIAM J. Sci. Comput. 42 (2020), no. 1, A115–A139. https://doi.org/10.1137/19M1243075 Content: - Julia implementation of the algorithm, - Output of the code for figures in the above research paper. - Matlab scripts for visualization. Version: September 9, 2020
The paper demonstrates the performance of a parallel time integration algorithm for simulating the t...
We introduce SDELab, a package for solving stochastic differential equations (SDEs) within MATLAB. ...
This code is described in: A. Abdulle, G. Vilmart, and K.C. Zygalakis, Mean-square A-stable diagonal...
We introduce a new methodology based on the multirevolution idea for constructing integrators for st...
This doctoral thesis provides a comprehensive numerical analysis and exploration of several stochast...
This article deals with the numerical integration in time of the nonlinear Schrödinger equation with...
This article deals with the numerical integration in time of the nonlinear Schr\uf6dinger equation w...
We introduce a class of numerical methods for highly oscillatory systems of stochastic differential ...
This book covers numerical methods for stochastic partial differential equations with white noise us...
A class of robust algorithms for the computer simulation of stochastic differential equations with m...
In this paper, we adapt a parallel time integration scheme to track the trajectories of noisy non-li...
International audienceWe introduce a time-integrator to sample with high order of accuracy the invar...
We study multiscale integrator numerical schemes for a class of stiff stochastic differential equati...
We introduce SDELab, a package for solving stochastic differential equations (SDEs) within MATLAB. S...
The numerical methods are described in: Adrien Laurent, Gilles Vilmart, Order conditions for samplin...
The paper demonstrates the performance of a parallel time integration algorithm for simulating the t...
We introduce SDELab, a package for solving stochastic differential equations (SDEs) within MATLAB. ...
This code is described in: A. Abdulle, G. Vilmart, and K.C. Zygalakis, Mean-square A-stable diagonal...
We introduce a new methodology based on the multirevolution idea for constructing integrators for st...
This doctoral thesis provides a comprehensive numerical analysis and exploration of several stochast...
This article deals with the numerical integration in time of the nonlinear Schrödinger equation with...
This article deals with the numerical integration in time of the nonlinear Schr\uf6dinger equation w...
We introduce a class of numerical methods for highly oscillatory systems of stochastic differential ...
This book covers numerical methods for stochastic partial differential equations with white noise us...
A class of robust algorithms for the computer simulation of stochastic differential equations with m...
In this paper, we adapt a parallel time integration scheme to track the trajectories of noisy non-li...
International audienceWe introduce a time-integrator to sample with high order of accuracy the invar...
We study multiscale integrator numerical schemes for a class of stiff stochastic differential equati...
We introduce SDELab, a package for solving stochastic differential equations (SDEs) within MATLAB. S...
The numerical methods are described in: Adrien Laurent, Gilles Vilmart, Order conditions for samplin...
The paper demonstrates the performance of a parallel time integration algorithm for simulating the t...
We introduce SDELab, a package for solving stochastic differential equations (SDEs) within MATLAB. ...
This code is described in: A. Abdulle, G. Vilmart, and K.C. Zygalakis, Mean-square A-stable diagonal...