Piecewise solenoidal vector fields and the Stokes problem
SIAM Journal on Numerical Analysis
Mixed and hybrid finite element methods
Mixed and hybrid finite element methods
High-resolution conservative algorithms for advection in incompressible flow
SIAM Journal on Numerical Analysis
Local Discontinuous Galerkin Methods for the Stokes System
SIAM Journal on Numerical Analysis
Mixed hp-DGFEM for Incompressible Flows
SIAM Journal on Numerical Analysis
Stabilized discontinuous finite element approximations for Stokes equations
Journal of Computational and Applied Mathematics
A Posteriori Error Control for a Weakly Over-Penalized Symmetric Interior Penalty Method
Journal of Scientific Computing
An Equal-Order DG Method for the Incompressible Navier-Stokes Equations
Journal of Scientific Computing
An Intrinsically Parallel Finite Element Method
Journal of Scientific Computing
Journal of Scientific Computing
Quasi-Optimality of Adaptive Nonconforming Finite Element Methods for the Stokes Equations
SIAM Journal on Numerical Analysis
Penalty-Factor-Free Discontinuous Galerkin Methods for 2-Dim Stokes Problems
SIAM Journal on Numerical Analysis
Higher order weakly over-penalized symmetric interior penalty methods
Journal of Computational and Applied Mathematics
Finite Element Methods for Navier-Stokes Equations: Theory and Algorithms
Finite Element Methods for Navier-Stokes Equations: Theory and Algorithms
Journal of Scientific Computing
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We present a mixed finite element method for the steady-state Stokes equations where the discrete bilinear form for the velocity is obtained by a weakly over-penalized symmetric interior penalty approach. We show that this mixed finite element method is inf-sup stable and has optimal convergence rates in both the energy norm and the $$L_2$$L2 norm on meshes that can contain hanging nodes. We present numerical experiments illustrating these results, explore a very simple adaptive algorithm that uses meshes with hanging nodes, and introduce a simple but scalable parallel solver for the method.