activity
20042024
most citedOn discretization schemes for stochastic evolution equations

70 citations · 274 across the 23 of their papers we have counts for

collaborators
Showing math.PRShow all

8 papers · 1 filter

math.PR2018★ 1 cited

Accelerated finite elements schemes for parabolic stochastic partial differential equations

István Gyöngy, Annie Millet

For a class of finite elements approximations for linear stochastic parabolic PDEs it is proved that one can accelerate the rate of convergence by Richardson extrapolation. More pr…

math.PR2016★ 3 cited

A Feynman-Kac formula for stochastic Dirichlet problems

Máté Gerencsér, István Gyöngy

A representation formula for solutions of stochastic partial differential equations with Dirichlet boundary conditions is proved. The scope of our setting is wide enough to cover t…

math.PR2012

A note on Euler approximations for stochastic differential equations with delay

Istvan Gyöngy, Sotirios Sabanis

An existence and uniqueness theorem for a class of stochastic delay differential equations is presented, and the convergence of Euler approximations for these equations is proved u…

math.PR2012★ 13 cited

A comparison principle for stochastic integro-differential equations

Konstantinos Dareiotis, Istvan Gyongy

A comparison principle for stochastic integro-differential equations driven by Levy processes is proved. This result is obtained via an extension of an Ito formula from [11] for th…

math.PR2012

Rate of convergence of Wong-Zakai approximations for stochastic partial differential equations

I. Gyöngy, P. R. Stinga

In this paper we show that the rate of convergence of Wong-Zakai approximations for stochastic partial differential equations driven by Wiener processes is essentially the same as…

math.PR2010

Accelerated finite difference schemes for stochastic partial differential equations in the whole space

Istvan Gyongy, Nicolai Krylov

We give sufficient conditions under which the convergence of finite difference approximations in the space variable of the solution to the Cauchy problem for linear stochastic PDEs…