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20202022
most citedOptimally Convergent Mixed Finite Element Methods for the Stochastic Stokes Equations

2 citations · 3 across the 4 of their papers we have counts for

collaborators

6 papers

math.NA2022

Higher order time discretization method for the stochastic Stokes equations with multiplicative noise

Liet Vo

In this paper, we propose a new approach for the time-discretization of the incompressible stochastic Stokes equations with multiplicative noise. Our new strategy is based on the c…

math.NA2022

High moment and pathwise error estimates for fully discrete mixed finite element approximattions of stochastic Navier-Stokes equations with additive noise

Xiaobing Feng, Liet Vo

This paper is concerned with high moment and pathwise error estimates for fully discrete mixed finite element approximattions of stochastic Navier-Stokes equations with general add…

math.NA20211 cited

High moment and pathwise error estimates for fully discrete mixed finite element approximations of the Stochastic Stokes Equations with Multiplicative Noises

Liet Vo

This paper is concerned with high moment and pathwise error estimates for both velocity and pressure approximations of the Euler-Maruyama scheme for time discretization and its two…

math.NA2021

An efficient iterative method for solving parameter-dependent and random convention-diffusion problems

Xiaobing Feng, Yan Luo, Liet Vo +1

This paper develops and analyzes a general iterative framework for solving parameter-dependent and random convection-diffusion problems. It is inspired by the multi-modes method of…

math.NA2020

Analysis of Chorin-Type Projection Methods for the Stochastic Stokes Equations with General Multiplicative Noises

Xiaobing Feng, Liet Vo

This paper is concerned with numerical analysis of two fully discrete Chorin-type projection methods for the stochastic Stokes equations with general non-solenoidal multiplicative…

math.NA20202 cited

Optimally Convergent Mixed Finite Element Methods for the Stochastic Stokes Equations

Xiaobing Feng, Andreas Prohl, Liet Vo

We propose some new mixed finite element methods for the time dependent stochastic Stokes equations with multiplicative noise, which use the Helmholtz decomposition of the driving…