GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems
SIAM Journal on Scientific and Statistical Computing
A domain decomposition technique for Stokes problems
Applied Numerical Mathematics - Domain Decomposition
A preconditioned iterative method for saddlepoint problems
SIAM Journal on Matrix Analysis and Applications
Fast nonsymmetric iterations and preconditioning for Navier-Stokes equations
SIAM Journal on Scientific Computing - Special issue on iterative methods in numerical linear algebra; selected papers from the Colorado conference
On the interface boundary condition of Beavers, Joseph, and Saffman
SIAM Journal on Applied Mathematics
On Block Preconditioners for Nonsymmetric Saddle Point Problems
SIAM Journal on Scientific Computing
A Note on Preconditioning Nonsymmetric Matrices
SIAM Journal on Scientific Computing
Mathematical and numerical models for coupling surface and groundwater flows
Applied Numerical Mathematics
Analysis of Preconditioners for Saddle-Point Problems
SIAM Journal on Scientific Computing
Computing and Visualization in Science
Uniform preconditioners for the time dependent Stokes problem
Numerische Mathematik
A Two-Grid Method of a Mixed Stokes-Darcy Model for Coupling Fluid Flow with Porous Media Flow
SIAM Journal on Numerical Analysis
A multilevel decoupled method for a mixed Stokes/Darcy model
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
A Mixed and Nonconforming FEM with Nonmatching Meshes for a Coupled Stokes-Darcy Model
Journal of Scientific Computing
A Decoupled Preconditioning Technique for a Mixed Stokes---Darcy Model
Journal of Scientific Computing
Hi-index | 7.30 |
We study numerical methods for a mixed Stokes/Darcy model in porous media applications. The global model is composed of two different submodels in a fluid region and a porous media region, coupled through a set of interface conditions. The weak formulation of the coupled model is of a saddle point type. The mixed finite element discretization applied to the saddle point problem leads to a coupled, indefinite, and nonsymmetric linear system of algebraic equations. We apply the preconditioned GMRES method to solve the discrete system and are particularly interested in efficient and effective decoupled preconditioning techniques. Several decoupled preconditioners are proposed. Theoretical analysis and numerical experiments show the effectiveness and efficiency of the preconditioners. Effects of physical parameters on the convergence performance are also investigated.