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20222026
most citedLinear implicit approximations of invariant measures of semi-linear SDEs with non-globally Lipschitz coefficients

9 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2026

An explicit scheme for stochastic Allen-Cahn equations with space-time white noise near the sharp interface limit

Yingsong Jiang, Chenxu Pang, Xiaojie Wang

This article investigates time-discrete approximations of Allen-Cahn type SPDEs driven by space-time white noise near the sharp interface limit , where the small parameter…

math.NA2023★ 2 cited

Projected Langevin Monte Carlo algorithms in non-convex and super-linear setting

Chenxu Pang, Xiaojie Wang, Yue Wu

It is of significant interest in many applications to sample from a high-dimensional target distribution with the density , based…

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★ 4 cited

Antithetic multilevel Monte Carlo method for approximations of SDEs with non-globally Lipschitz continuous coefficients

Chenxu Pang, Xiaojie Wang

In the field of computational finance, one is commonly interested in the expected value of a financial derivative whose payoff depends on the solution of stochastic differential eq…

math.NA2022

Optimal finite elements for ergodic stochastic two-scale elliptic equations

Viet Ha Hoang, Chen Hui Pang, Wee Chin Tan

We develop an essentially optimal finite element approach for solving ergodic stochastic two-scale elliptic equations whose two-scale coefficient may depend also on the slow variab…