collaborators

8 papers

math.NA2026

A splitting mixed finite element method for a stochastic Keller-Segel system with multiplicative noise

Thoa Thieu, Liet Vo

In this paper, we propose and analyze a splitting mixed finite element method for a stochastic Keller--Segel system with logistic growth driven by multiplicative noise. By introduc…

math.NA2026

A High-Order Perturbation of Envelopes (HOPE) Method for Electromagnetic Scattering by Periodic Inhomogeneous Chiral Media

David Nicholls, Liet Vo

Chirality plays an important role in many optical phenomena, and it is crucial to have efficient and accurate numerical algorithms to simulate solutions in this setting. In this pa…

math.NA2026

Finite element approximations of the stochastic Benjamin-Bona-Mahony equation with multiplicative noise

Hung D. Nguyen, Thoa Thieu, Liet Vo

This paper is devoted to the numerical analysis of a fully discrete finite element approximation for the stochastic Benjamin-Bona-Mahony equation driven by multiplicative noise. We…

math.NA2025

A mixed finite element method for the stochastic Boussinesq equations with multiplicative noise

Liet Vo

This work investigates a fully discrete mixed finite element method for the stochastic Boussinesq system driven by multiplicative noise. The spatial discretization is performed usi…

math.NA2025

Full moment error estimates in strong norms for numerical approximations of stochastic Navier-Stokes equations with multiplicative noise, Part I: time discretization

Xiaobing Feng, Liet Vo

This paper focuses on deriving optimal-order full moment error estimates in strong norms for both velocity and pressure approximations in the Euler-Maruyama time discretization of…

math.NA2025

Fully discrete finite element methods for the stochastic Kuramoto-Sivashinsky equation with multiplicative noise

Hung D. Nguyen, Liet Vo

We investigate a fully discrete finite element approximation for the stochastic Kuramoto-Sivashinsky equation, combining the standard finite element methods in spatial discretizati…