activity
20172024
most citedAn augmented Lagrangian preconditioner for the 3D stationary incompressible Navier-Stokes equations at high Reynolds number

73 citations · 348 across the 17 of their papers we have counts for

collaborators
Showing math.NAShow all

8 papers · 1 filter

math.NA2021

Robust multigrid techniques for augmented Lagrangian preconditioning of incompressible Stokes equations with extreme viscosity variations

Yu-hsuan Shih, Georg Stadler, Florian Wechsung

We present augmented Lagrangian Schur complement preconditioners and robust multigrid methods for incompressible Stokes problems with extreme viscosity variations. Such Stokes syst…

math.NA2020★ 44 cited

A Reynolds-robust preconditioner for the Scott-Vogelius discretization of the stationary incompressible Navier-Stokes equations

Patrick E. Farrell, Lawrence Mitchell, L. Ridgway Scott +1

Augmented Lagrangian preconditioners have successfully yielded Reynolds-robust preconditioners for the stationary incompressible Navier-Stokes equations, but only for specific disc…

math.NA2020★ 1 cited

Augmented Lagrangian preconditioners for the Oseen-Frank model of nematic and cholesteric liquid crystals

Jingmin Xia, Patrick E. Farrell, Florian Wechsung

We propose a robust and efficient augmented Lagrangian-type preconditioner for solving linearizations of the Oseen-Frank model arising in cholesteric liquid crystals. By applying t…

math.NA2020★ 13 cited

Robust multigrid methods for nearly incompressible elasticity using macro elements

Patrick E. Farrell, Lawrence Mitchell, L. Ridgway Scott +1

We present a mesh-independent and parameter-robust multigrid solver for the Scott-Vogelius discretisation of the nearly incompressible linear elasticity equations on meshes with a…

math.NA2018★ 73 cited

An augmented Lagrangian preconditioner for the 3D stationary incompressible Navier-Stokes equations at high Reynolds number

Patrick E. Farrell, Lawrence Mitchell, Florian Wechsung

In Benzi & Olshanskii (SIAM J.~Sci.~Comput., 28(6) (2006)) a preconditioner of augmented Lagrangian type was presented for the two-dimensional stationary incompressible Navier--Sto…

math.NA2018★ 30 cited

Automated shape differentiation in the Unified Form Language

David A. Ham, Lawrence Mitchell, Alberto Paganini +1

We discuss automating the calculation of weak shape derivatives in the Unified Form Language (Alnæs et al., ACM Trans. Math. Softw., 2014) by introducing an appropriate additional…

math.NA2017★ 1 cited

Higher-order moving mesh methods for PDE-constrained shape optimization

A. Paganini, F. Wechsung, P. E. Farrell

We present a new approach to discretizing shape optimization problems that generalizes standard moving mesh methods to higher-order mesh deformations and that is naturally compatib…

math.NA2017★ 13 cited

A robust parallel algorithm for combinatorial compressed sensing

Rodrigo Mendoza-Smith, Jared Tanner, Florian Wechsung

In previous work two of the authors have shown that a vector with at most nonzeros can be recovered from an expander sketch in $\mathcal{O}(\mathr…