Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows-Reference-Cited by-同舟云学术

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Convergence Analysis of Stochastic Structure-Preserving Schemes for Computing Effective Diffusivity in Random Flows

Published:2020-01 Issue:5 Volume:58 Page:3040-3067
ISSN:0036-1429
Container-title:SIAM Journal on Numerical Analysis
language:en
Short-container-title:SIAM J. Numer. Anal.

Author:

Lyu Junlong,Wang Zhongjian^ORCID,Xin Jack^ORCID,Zhang Zhiwen^ORCID

Funder

Hong Kong PhD Fellowship Scheme

Hong Kong Research Grants Council

Hong Kong University Seed Funding Programme for Basic Research

National Natural Science Foundation of China

National Science Foundation

Science and Technology Planning Project of Shenzhen Municipality

University Grants Committee

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Numerical Analysis,Applied Mathematics,Computational Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/19M1277163

Reference23 articles.

1. Anomalous diffusion of inertial particles in random parallel flows: theory and numerics face to face

2. Eddy diffusivities of inertial particles in random Gaussian flows

3. Homogenization for time-dependent two-dimensional incompressible Gaussian flows

4. A comparative study on the lattice Boltzmann models for predicting effective diffusivity of porous media

5. RANDOM PSEUDODIFFERENTIAL OPERATORS AND THE STABILIZATION OF SOLUTIONS OF PARABOLIC EQUATIONS WITH RANDOM COEFFICIENTS

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