We present an iterative solver, called right transforming iterations (or right transformations), for linear systems with a certain structure in the system matrix, such as they typically arise in the framework of KKT conditions for optimization problems under PDE constraints. The construction of the right transforming scheme depends on an inner approximate solver for the underlying PDE subproblems. We give a rigorous convergence proof for the right transforming iterative scheme in dependence on the convergence properties of the inner solver. Provided that a fast subsolver is available, this iterative scheme represents an efficient way of solving first order optimality conditions. Numerical examples endorse the theoretically predicted contrac...
This paper considers two-stage iterative processes for solving the linear system $Af = b$. The outer...
We consider Newton systems arising from the interior point solution of PDE-constrained optimization ...
In this thesis, we investigate the numerical solution of large-scale linear matrix equations arising...
We present an iterative solver, called right transforming iterations (or right transformations), for...
The KKT systems arising in nonlinearly constrained optimization problems may not have correct inerti...
We propose an inertia revealing preconditioning approach for the solution of nonconvex PDE-constrain...
Abstract We discuss the question of which features and/or properties make a method for solving a giv...
We propose a two-phase acceleration technique for the solution of Symmetric and Positive Definite li...
DGS : International Conference on Dynamics, Games and Science ; BIOECONOMY : Annual Berkeley Bioecon...
The solution of KKT systems is ubiquitous in optimization methods and often dominates the computati...
We propose a two-phase acceleration technique for the solution of Symmetric and Positive Definite (S...
The accurate and efficient solution of time-dependent PDE-constrained optimization problems is a cha...
PDE-constrained optimization is a frontier problem in computational science and engineering. All PDE...
This book introduces, in an accessible way, the basic elements of Numerical PDE-Constrained Optimiza...
The theory of the convergence of Krylov subspace iterations for linear systems of equations (conjuga...
This paper considers two-stage iterative processes for solving the linear system $Af = b$. The outer...
We consider Newton systems arising from the interior point solution of PDE-constrained optimization ...
In this thesis, we investigate the numerical solution of large-scale linear matrix equations arising...
We present an iterative solver, called right transforming iterations (or right transformations), for...
The KKT systems arising in nonlinearly constrained optimization problems may not have correct inerti...
We propose an inertia revealing preconditioning approach for the solution of nonconvex PDE-constrain...
Abstract We discuss the question of which features and/or properties make a method for solving a giv...
We propose a two-phase acceleration technique for the solution of Symmetric and Positive Definite li...
DGS : International Conference on Dynamics, Games and Science ; BIOECONOMY : Annual Berkeley Bioecon...
The solution of KKT systems is ubiquitous in optimization methods and often dominates the computati...
We propose a two-phase acceleration technique for the solution of Symmetric and Positive Definite (S...
The accurate and efficient solution of time-dependent PDE-constrained optimization problems is a cha...
PDE-constrained optimization is a frontier problem in computational science and engineering. All PDE...
This book introduces, in an accessible way, the basic elements of Numerical PDE-Constrained Optimiza...
The theory of the convergence of Krylov subspace iterations for linear systems of equations (conjuga...
This paper considers two-stage iterative processes for solving the linear system $Af = b$. The outer...
We consider Newton systems arising from the interior point solution of PDE-constrained optimization ...
In this thesis, we investigate the numerical solution of large-scale linear matrix equations arising...