Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Linke, Alexander
Rebholz, Leo G.
and
Wilson, Nicholas E.
2011.
On the convergence rate of grad-div stabilized Taylor–Hood to Scott–Vogelius solutions for incompressible flow problems.
Journal of Mathematical Analysis and Applications,
Vol. 381,
Issue. 2,
p.
612.
Connors, Jeffrey M.
Jenkins, Eleanor W.
and
Rebholz, Leo G.
2011.
Small-scale divergence penalization for incompressible flow problems via time relaxation.
International Journal of Computer Mathematics,
Vol. 88,
Issue. 15,
p.
3202.
Kim, Tae-Yeon
Neda, Monika
Rebholz, Leo G.
and
Fried, Eliot
2011.
A numerical study of the Navier–Stokes-αβ model.
Computer Methods in Applied Mechanics and Engineering,
Vol. 200,
Issue. 41-44,
p.
2891.
Kim, Tae-Yeon
Rebholz, Leo G.
and
Fried, Eliot
2012.
A deconvolution enhancement of the Navier–Stokes-αβ model.
Journal of Computational Physics,
Vol. 231,
Issue. 11,
p.
4015.
Neda, Monika
Sun, Xudong
and
Yu, Lanxuan
2012.
Increasing Accuracy and Efficiency for Regularized Navier-Stokes Equations.
Acta Applicandae Mathematicae,
Vol. 118,
Issue. 1,
p.
57.
Hinz, Denis F.
Kim, Tae-Yeon
Riley, James J.
and
Fried, Eliot
2013.
A-priori testing of alpha regularisation models as subgrid-scale closures for large-eddy simulations.
Journal of Turbulence,
Vol. 14,
Issue. 6,
p.
1.
Bowers, Abigail L.
Kim, Tae-Yeon
Neda, Monika
Rebholz, Leo G.
and
Fried, Eliot
2013.
The Leray-αβ-deconvolution model: Energy analysis and numerical algorithms.
Applied Mathematical Modelling,
Vol. 37,
Issue. 3,
p.
1225.
Jenkins, Eleanor W.
John, Volker
Linke, Alexander
and
Rebholz, Leo G.
2014.
On the parameter choice in grad-div stabilization for the Stokes equations.
Advances in Computational Mathematics,
Vol. 40,
Issue. 2,
p.
491.
Hinz, Denis F
Kim, Tae-Yeon
and
Fried, Eliot
2014.
Statistics of the Navier–Stokes-alpha-beta regularization model for fluid turbulence.
Journal of Physics A: Mathematical and Theoretical,
Vol. 47,
Issue. 5,
p.
055501.
Bowers, Abigail L.
Le Borne, Sabine
and
Rebholz, Leo G.
2014.
Error analysis and iterative solvers for Navier–Stokes projection methods with standard and sparse grad-div stabilization.
Computer Methods in Applied Mechanics and Engineering,
Vol. 275,
Issue. ,
p.
1.
Monteiro, Igor O.
Manica, Carolina C.
and
Rebholz, Leo G.
2015.
Numerical study of a regularized barotropic vorticity model of geophysical flow.
Numerical Methods for Partial Differential Equations,
Vol. 31,
Issue. 5,
p.
1492.
Kim, Tae‐Yeon
Dunca, Argus A.
Rebholz, Leo G.
and
Fried, Eliot
2015.
Energy analysis and improved regularity estimates for multiscale deconvolution models of incompressible flows.
Mathematical Methods in the Applied Sciences,
Vol. 38,
Issue. 17,
p.
4199.
Cuff, Victoria M.
Dunca, Argus A.
Manica, Carolina C.
and
Rebholz, Leo G.
2015.
The reduced order NS-αmodel for incompressible flow: theory, numerical analysis and benchmark testing.
ESAIM: Mathematical Modelling and Numerical Analysis,
Vol. 49,
Issue. 3,
p.
641.
Neda, Monika
Pahlevani, Faranak
Rebholz, Leo G.
and
Waters, Jiajia
2016.
Sensitivity analysis of the grad-div stabilization parameter in finite element simulations of incompressible flow.
Journal of Numerical Mathematics,
Vol. 24,
Issue. 3,
John, Volker
Linke, Alexander
Merdon, Christian
Neilan, Michael
and
Rebholz, Leo G.
2017.
On the Divergence Constraint in Mixed Finite Element Methods for Incompressible Flows.
SIAM Review,
Vol. 59,
Issue. 3,
p.
492.
Monteiro, Igor O.
and
Manica, Carolina C.
2017.
On the regularized modeling of density currents.
Journal of Numerical Mathematics,
Vol. 25,
Issue. 2,
Breckling, Sean
and
Neda, Monika
2018.
Numerical study of the Navier–Stokes-αdeconvolution model with pointwise mass conservation.
International Journal of Computer Mathematics,
Vol. 95,
Issue. 9,
p.
1727.
Breckling, Sean
Neda, Monika
and
Pahlevani, Fran
2018.
A sensitivity study of the Navier–Stokes-α model.
Computers & Mathematics with Applications,
Vol. 75,
Issue. 2,
p.
666.
Linke, A.
Merdon, C.
Neilan, M.
and
Neumann, F.
2018.
Quasi-optimality of a pressure-robust nonconforming finite element method for the Stokes-problem.
Mathematics of Computation,
Vol. 87,
Issue. 312,
p.
1543.
Ahmed, Shady E.
San, Omer
Kara, Kursat
Younis, Rami
and
Rasheed, Adil
2020.
Interface learning of multiphysics and multiscale systems.
Physical Review E,
Vol. 102,
Issue. 5,