The fast iterative solution of optimal control problems, and in particular PDE-constrained optimization problems, has become an active area of research in applied mathematics and numerical analysis. In this paper, we consider the solution of a class of time-dependent PDE-constrained optimization problems, specifically the distributed control of the heat equation. We develop a strategy to approximate the (1,1)-block and Schur complement of the saddle point system that results from solving this problem, and therefore derive a block diagonal preconditioner to be used within the MINRES algorithm. We present numerical results to demonstrate that this approach yields a robust solver with respect to step-size and regularization parameter
Optimal control problems governed by time-dependent partial differential equations (PDEs) lead to la...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
The fast iterative solution of optimal control problems, and in particular PDE-constrained optimizat...
In this article, we motivate, derive, and test effective preconditioners to be used with the MINRES ...
In this article, we motivate, derive and test effective preconditioners to be used with the Minres a...
In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arisi...
In this article, we motivate, derive and test �effective preconditioners to be used with the Minres ...
Optimization problems with constraints which require the solution of a partial differential equatio...
Optimization problems with constraints which require the solution of a partial differential equation...
Optimization problems with constraints which require the solution of a partial differential equation...
Optimization problems with constraints which require the solution of a partial differential equatio...
In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arisi...
In this thesis, we examine the solution to a range of time-dependent Partial Differential Equation (...
In this thesis, we examine the solution to a range of time-dependent Partial Differential Equation (...
Optimal control problems governed by time-dependent partial differential equations (PDEs) lead to la...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
The fast iterative solution of optimal control problems, and in particular PDE-constrained optimizat...
In this article, we motivate, derive, and test effective preconditioners to be used with the MINRES ...
In this article, we motivate, derive and test effective preconditioners to be used with the Minres a...
In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arisi...
In this article, we motivate, derive and test �effective preconditioners to be used with the Minres ...
Optimization problems with constraints which require the solution of a partial differential equatio...
Optimization problems with constraints which require the solution of a partial differential equation...
Optimization problems with constraints which require the solution of a partial differential equation...
Optimization problems with constraints which require the solution of a partial differential equatio...
In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arisi...
In this thesis, we examine the solution to a range of time-dependent Partial Differential Equation (...
In this thesis, we examine the solution to a range of time-dependent Partial Differential Equation (...
Optimal control problems governed by time-dependent partial differential equations (PDEs) lead to la...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...
Saddle point systems arise widely in optimization problems with constraints. The utility of Schur co...