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20222026
most citedEfficient Monte Carlo Method for Integral Fractional Laplacian in Multiple Dimensions

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

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5 papers

math.NA2026

A modified projected walk on spheres method for elliptic equations on high-dimensional embedded manifolds: algorithm and error estimates

Zhiyuan Hui, Changtao Sheng, Bihao Su +1

In this paper, we propose a modified projected Walk on Spheres method (MPWoS) for screened Poisson equations on embedded manifolds. The method employs local extensions together wit…

math.NA2025

A derivative-free localized stochastic method for very high-dimensional semilinear parabolic PDEs

Shuixin Fang, Changtao Sheng, Bihao Su +1

We develop a mesh-free, derivative-free, matrix-free, and highly parallel localized stochastic method for high-dimensional semilinear parabolic PDEs. The efficiency of the proposed…

math.NA2025

Numerical Method for Space-Time Fractional Diffusion: A Stochastic Approach

Tengteng Cui, Chengtao Sheng, Bihao Su +1

In this paper, we develop and analyze a stochastic algorithm for solving space-time fractional diffusion models, which are widely used to describe anomalous diffusion dynamics. The…

math.NA2025

Efficient implicit-explicit sparse stochastic method for high dimensional semi-linear nonlocal diffusion equations

Changtao Sheng, Bihao Su, Chenglong Xu

In this paper, we present a sparse grid-based Monte Carlo method for solving high-dimensional semi-linear nonlocal diffusion equations with volume constraints. The nonlocal model i…

math.NA2022★ 2 cited

Efficient Monte Carlo Method for Integral Fractional Laplacian in Multiple Dimensions

Changtao Sheng, Bihao Su, Chenglong Xu

In this paper, we develop a Monte Carlo method for solving PDEs involving an integral fractional Laplacian (IFL) in multiple dimensions. We first construct a new Feynman-Kac repres…