A UNIFIED CONVERGENCE ANALYSIS FOR LOCAL PROJECTION STABILISATIONS APPLIED TO THE OSEEN PROBLEM
By Gunar Matthies, Piotr S. Skrzypacz, Lutz Tobiska. 2007
227 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computational Theory and Mathematics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/09fdee3e1449a1d4c4142a9222af2da80668f7d2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Gerd Rapin
- Lutz Tobiska
- Timo Heister
- Xiaoping Xie
- Minfu Feng
- Gang Chen
- Gunar Matthies
- Piotr S. Skrzypacz
In Computational Theory and Mathematics
- Xiaoping Xie
- Minfu Feng
- Gang Chen
- Gunar Matthies
- Piotr S. Skrzypacz
- Lutz Tobiska
- Gerd Rapin
- Timo Heister
In Statistical and Nonlinear Physics
- Xiaoping Xie
- Minfu Feng
- Gang Chen
- Lutz Tobiska
- Gunar Matthies
- Piotr S. Skrzypacz
- Timo Heister
- Volker John
Citations in the corpus
- Stabilization of local projection type applied to convection-diffusion problems with mixed boundary conditions. (2008, methodology): “The analysis of the local projection method applied to equal-order interpolation discretisation of the Oseen problem can be found in [5, 23].”
- Efficient augmented Lagrangian‐type preconditioning for the Oseen problem using Grad‐Div stabilization (2013, background): “The solver and preconditioner concept in this paper works identically with additional, symmetric stabilization terms for the velocity, like local projection stabilization, see [21, 24, 25] and references therein.”
- Simulations of Population Balance Systems with One Internal Coordinate using Finite Element Methods (2009, background): “stabilization based on local projections (Matthies et al., 2007).”
- Robust Globally Divergence-Free Weak Galerkin Methods for Stokes Equations (2016, methodology): “, Galerkin least-square methods [5, 7, 17, 37], pressure projection methods [8,14,18], pressure gradient projection methods [13,30], and local projection stabilized methods [6, 39,51].”