Ju Ming （明 炬）

Publications:

• M. Gunzburger and J. Ming, Efficient numerical methods for stochastic partial differential equations through trans- formation to equations driven by correlated noise, International Journal for Uncertainty Quantification, 3(2012), in press.
• M. Gunzburger and J. Ming, The Stochastic Navier-Stokes-Boussinesq Equations, SIAM Journal on Scientific Computing, accepted.
• M. Gunzburger, L-S Hou, and J. Ming, Stochastic Navier-Stokes equations with additive random noise, Journal of Scientific Computing, in review.
• M. Gunzburger and J. Ming, Optimal control of stochastic flow over a backward-facing step using reduced-order modeling, SIAM Journal on Scientific Computing, 33(2011), pp. 2641-2663.
• L-S. Hou and J. Ming, The velocity tracking problem for stochastic Navier-Stokes flows using Wiener-Itˆ o chaos expansion, International Journal of Numerical Analysis and Modeling, accepted.
• M. Gunzburger, L-S Hou, and J. Ming, Optimal control of stochastic flow using polynomial chaos expansion, SIAM Journal on Scientific Computing, in review.
• J. Ming, Optimal control of stochastic flow, Ph.D Thesis, Iowa State University, 2009.
• J. Ming and Y. Zhang,, The stochastic Cahn-Hilliard equation,, International Journal for Uncertainty Quantification, in review.