48 Papers
185 Citations
Mo Mu is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Gaussian elimination & Domain decomposition methods. The author has an hindex of 12, co-authored 48 publications. Previous affiliations of Mo Mu include Purdue University.
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Papers
A Two-Grid Method of a Mixed Stokes-Darcy Model for Coupling Fluid Flow with Porous Media Flow
Mo Mu,Jinchao Xu +1 more
TL;DR: Both theoretical analysis and numerical experiments show the efficiency and effectiveness of the two-grid approach for solving multimodeling problems.
Decoupled schemes for a non-stationary mixed Stokes-Darcy model
Mo Mu,Xiaohong Zhu +1 more
TL;DR: A decoupling approach based on interface approximation via temporal extrapolation is proposed for devising decoupled marching algorithms for the mixed model that models coupled fluid flow and porous media flow.
Numerical Solution to a Mixed Navier-Stokes/Darcy Model by the Two-Grid Approach
Mingchao Cai,Mo Mu,Jinchao Xu +2 more
TL;DR: Numerical analysis and experiments are presented to show the efficiency and effectiveness of the decoupled and linearized algorithm for a coupled Navier-Stokes/Darcy model.
176
Preconditioning techniques for a mixed Stokes/Darcy model in porous media applications
Mingchao Cai,Mo Mu,Jinchao Xu +2 more
TL;DR: Theoretical analysis and numerical experiments show the effectiveness and efficiency of the preconditioners and effects of physical parameters on the convergence performance are investigated.
91
Efficient Parallel Algorithms for Parabolic Problems
TL;DR: Domain decomposition algorithms for parallel numerical solution of parabolic equations are studied for steady state or slow unsteady computation, showing that the resulting schemes are of second order global accuracy in space, and stable in the sense of Osher or in $L_{\infty }$.