Multigrid methods for saddle point problems: Optimality systems
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Our goal is to design multigrid methods for the resulting discrete saddle point problem whose performance is independent of the regularization parameter β . The ...
Jul 1, 2020 · We develop multigrid methods for an elliptic distributed optimal control prob- lem on convex domains that are robust with respect to a ...
Multigrid methods for saddle point problems: Optimality systems
repository.lsu.edu › mathematics_pubs
Jul 1, 2020 · We develop multigrid methods for an elliptic distributed optimal control problem on convex domains that are robust with respect to a ...
We design and analyze multigrid methods for the saddle point problems re- sulting from Raviart-Thomas-Nédélec mixed finite element methods (of order at least 1).
We develop multigrid methods for an elliptic distributed optimal control problem on convex domains that are robust with respect to a regularization ...
Nov 29, 2018 · We construct multigrid methods for an elliptic distributed optimal control problem that are robust with respect to a regularization parameter.
Missing: Optimality | Show results with:Optimality
We develop multigrid methods for an elliptic distributed optimal control problem on convex domains that are robust with respect to a regularization ...
We develop and analyze multigrid methods for the Oseen system in fluid flow. We show that the W -cycle algorithm is a uniform contraction if the number of ...
Missing: Optimality | Show results with:Optimality
It has been numerically observed that multiplicative Schwarz smoother leads to an efficient multigrid methods for saddle point problems, however, theoretical ...
Missing: Optimality | Show results with:Optimality
We construct multigrid methods for an elliptic distributed optimal control problem that are robust with respect to a regularization parameter. We prove the ...
Missing: Optimality | Show results with:Optimality