activity
20162023
most citedA randomized Milstein method for stochastic differential equations with non-differentiable drift coefficients

29 citations · 89 across the 17 of their papers we have counts for

collaborators

18 papers

math.NA2023★ 9 cited

Linear implicit approximations of invariant measures of semi-linear SDEs with non-globally Lipschitz coefficients

Chenxu Pang, Xiaojie Wang, Yue Wu

This article investigates the weak approximation towards the invariant measure of semi-linear stochastic differential equations (SDEs) under non-globally Lipschitz coefficients. Fo…

math.NA2023

On approximation of solutions of stochastic delay differential equations via randomized Euler scheme

Paweł Przybyłowicz, Yue Wu, Xinheng Xie

We investigate existence, uniqueness and approximation of solutions to stochastic delay differential equations (SDDEs) under Carathéodory-type drift coefficients. Moreover, we also…

math.PR2023

Order-One Convergence of the Backward Euler Method for Random Periodic Solutions of Semilinear SDEs

Yujia Guo, Xiaojie Wang, Yue Wu

In this paper, we revisit the backward Euler method for numerical approximations of random periodic solutions of semilinear SDEs with additive noise. Improved -estimates of…

math.NA2023★ 1 cited

Score-based Transport Modeling for Mean-Field Fokker-Planck Equations

Jianfeng Lu, Yue Wu, Yang Xiang

We use the score-based transport modeling method to solve the mean-field Fokker-Planck equations, which we call MSBTM. We establish an upper bound on the time derivative of the Kul…

math.NA2022★ 9 cited

Existence, uniqueness and approximation of solutions to Carathéodory delay differential equations

Fabio V. Difonzo, Paweł Przybyłowicz, Yue Wu

In this paper we address the existence, uniqueness and approximation of solutions of delay differential equations (DDEs) with Carathéodory type right-hand side functions. We provid…

math.PR2022

Random periodic solutions for stochastic differential equations with non-uniform dissipativity

Jianhai Bao, Yue Wu

This paper is concerned with the existence and uniqueness of random periodic solutions for stochastic differential equations (SDEs), where the drift terms involved need not to be u…

math.PR2021

The Galerkin analysis for the random periodic solution of semilinear stochastic evolution equations

Yue Wu, Chenggui Yuan

In this paper we study the numerical method for approximating the random periodic solution of semiliear stochastic evolution equations. The main challenge lies in proving a converg…

math.PR2021

The random periodic solution of a stochastic differential equation with a monotone drift and its numerical approximation

Yue Wu

In this paper we study the existence and uniqueness of the random periodic solution for a stochastic differential equation with a one-sided Lipschitz condition (also known as monot…

math.NA2020

A randomised trapezoidal quadrature

Yue Wu

A randomised trapezoidal quadrature rule is proposed for continuous functions which enjoys less regularity than commonly required. Indeed, we consider functions in some fractional…

math.NA2019

Application of Randomized Quadrature Formulas to the Finite Element Method for Elliptic Equations

Raphael Kruse, Nick Polydorides, Yue Wu

The implementation of the finite element method for linear elliptic equations requires to assemble the stiffness matrix and the load vector. In general, the entries of this matrix-…

math.NA2019★ 6 cited

A Sketched Finite Element Method for Elliptic Models

Robert Lung, Yue Wu, Dimitris Kamilis +1

We consider a sketched implementation of the finite element method for elliptic partial differential equations on high-dimensional models. Motivated by applications in real-time si…

math.NA2019

A Multilevel Monte Carlo Estimator for Matrix Multiplication

Yue Wu, Nick Polydorides

Inspired by the latest developments in multilevel Monte Carlo (MLMC) methods and randomised sketching for linear algebra problems we propose a MLMC estimator for real-time processi…

math.NA2019★ 1 cited

A row-sampling-based randomised finite element method for elliptic partial differential equations

Yue Wu, Dimitris Kamilis, Nick Polydorides

We consider a randomised implementation of the finite element method (FEM) for elliptic partial differential equations on high-dimensional models. This is motivated by applications…

math.NA2018★ 1 cited

Truncated Euler-Maruyama method for classical and time-changed non-autonomous stochastic differential equations

Wei Liu, Xuerong Mao, Jingwen Tang +1

The truncated Euler-Maruyama (EM) method is proposed to approximate a class of non-autonomous stochastic differential equations (SDEs) with the Hölder continuity in the temporal va…

math.NA2018★ 9 cited

A randomized and fully discrete Galerkin finite element method for semilinear stochastic evolution equations

Raphael Kruse, Yue Wu

In this paper the numerical solution of non-autonomous semilinear stochastic evolution equations driven by an additive Wiener noise is investigated. We introduce a novel fully disc…

math.NA2017★ 29 cited

A randomized Milstein method for stochastic differential equations with non-differentiable drift coefficients

Raphael Kruse, Yue Wu

In this paper a drift-randomized Milstein method is introduced for the numerical solution of non-autonomous stochastic differential equations with non-differentiable drift coeffici…

math.NA2017★ 22 cited

Error analysis of randomized Runge-Kutta methods for differential equations with time-irregular coefficients

Raphael Kruse, Yue Wu

This paper contains an error analysis of two randomized explicit Runge-Kutta schemes for ordinary differential equations (ODEs) with time-irregular coefficient functions. In partic…

math.PR2016★ 2 cited

Moments of quantum Lévy areas using sticky shuffle Hopf algebras

Robin Hudson, Uwe Schauz, Yue Wu

We study a family of quantum analogs of Lévy's stochastic area for planar Brownian motion depending on a variance parameter which deform to the classical Lévy area as $σ\…