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Ming Ju · Study

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Ming Ju

4 works· latest 2022· 2 institutionscluster: provisionalORCID 0000-0002-3698-5687

h-index4

i102

Citations39

Works here4

12

21

22

Most cited in this library

A Multigrid Multilevel Monte Carlo Method for Stokes–Darcy Model with Random Hydraulic Conductivity and Beavers–Joseph Condition2022 · 16 citations
A stochastic collocation method based on sparse grids for a stochastic Stokes-Darcy model2021 · 13 citations
EFFICIENT NUMERICAL METHODS FOR STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS THROUGH TRANSFORMATION TO EQUATIONS DRIVEN BY CORRELATED NOISE2012 · 5 citations
Quantify uncertainty by estimating the probability density function of the output of interest using MLMC based Bayes method2022 · 5 citations

Works

4 shown

Quantify uncertainty by estimating the probability density function of the output of interest using MLMC based Bayes method

Discrete and Continuous Dynamical Systems - B·2022·3 authors·Open access

5citations

A Multigrid Multilevel Monte Carlo Method for Stokes–Darcy Model with Random Hydraulic Conductivity and Beavers–Joseph Condition

Journal of Scientific Computing·2022·5 authors

16citations

A stochastic collocation method based on sparse grids for a stochastic Stokes-Darcy model

Discrete and Continuous Dynamical Systems - S·2021·4 authors·Open access

13citations

EFFICIENT NUMERICAL METHODS FOR STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS THROUGH TRANSFORMATION TO EQUATIONS DRIVEN BY CORRELATED NOISE

International Journal for Uncertainty Quantification·2012·2 authors·Open access

5citations