An augmented Lagrangian preconditioner with multigrid-inexact blocks makes GMRES iteration counts for Runge-Kutta time-stepped Navier-Stokes robust in viscosity, mesh size, time step, and stage count.
An augmented Lagrangian preconditioner for the control of the Navier--Stokes equations
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abstract
We address the solution of the distributed control problem for the steady, incompressible Navier--Stokes equations. We propose an inexact Newton linearization of the optimality conditions. Upon discretization by a finite element scheme, we obtain a sequence of large symmetric linear systems of saddle-point type. We use an augmented Lagrangian-based block triangular preconditioner in combination with the flexible GMRES method at each Newton step. The preconditioner is applied inexactly via a suitable multigrid solver. Numerical experiments indicate that the resulting method appears to be fairly robust with respect to viscosity, mesh size, and the choice of regularization parameter when applied to 2D problems.
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An Augmented Lagrangian Preconditioner for Navier--Stokes Equations with Runge--Kutta in Time
An augmented Lagrangian preconditioner with multigrid-inexact blocks makes GMRES iteration counts for Runge-Kutta time-stepped Navier-Stokes robust in viscosity, mesh size, time step, and stage count.