14 citations · 18 across the 8 of their papers we have counts for
8 papers
Splitting Method for Stochastic Navier-Stokes Equations
Jie Zhu, Yujun Zhu, Ju Ming +1
This paper investigates the two-dimensional stochastic steady-state Navier-Stokes(NS) equations with additive random noise. We introduce an innovative splitting method that decompo…
Optimal control of stochastic cylinder flow using data-driven compressive sensing method
Liuhong Chen, Ju Ming, Max D. Gunzburger
A stochastic optimal control problem for incompressible Newtonian channel flow past a circular cylinder is used as a prototype optimal control problem for the stochastic Navier-Sto…
Clustering based Multiple Anchors High-Dimensional Model Representation
Meixin Xiong, Liuhong Chen, Ju Ming +2
In this work, a cut high-dimensional model representation (cut-HDMR) expansion based on multiple anchors is constructed via the clustering method. Specifically, a set of random inp…
Bayesian Approach to Inverse Time-harmonic Acoustic Scattering from Sound-soft Obstacles with Phaseless Data
Zhipeng Yang, Xinping Gui, Ju Ming +1
This paper concerns the Bayesian approach to inverse acoustic scattering problems of inferring the position and shape of a sound-soft obstacle from phaseless far-field data generat…
Bayesian Approach to Inverse Time-harmonic Acoustic Scattering with Phaseless Far-field Data
Zhipeng Yang, Xinping Gui, Ju Ming +1
This paper is concerned with inverse acoustic scattering problem of inferring the position and shape of a sound-soft obstacle from phaseless far-field data. We propose the Bayesian…
Multi-grid Multi-Level Monte Carlo Method for Stokes-Darcy interface Model with Random Hydraulic Conductivity
Zhipeng Yang, Xiaoming He, Li Zhang +1
In this article we develop a multi-grid multi-level Monte Carlo (MGMLMC) method for the stochastic Stokes-Darcy interface model with random hydraulic conductivity both in the porou…
The multi-level Monte Carlo method for simulations of turbulent flows
Qingsha Chen, Ju Ming
In this paper the application of the multi-level Monte Carlo (MLMC) method on numerical simulations of turbulent flows with uncertain parameters is investigated. Several strategies…
Multilevel Monte Carlo Finite Element Method for A Stochastic Optimal Control Problem
Qi Sun, Ju Ming
In this paper, we consider the implementation of multi-level Monte Carlo method to a stochastic optimal control problem with log-normal coefficients and its surrogate model problem…