In this paper, indefinite linear systems with linear constraints are considered. We present a special decomposition that makes use of the LQ decomposition, and retains the constraints in the factors. The resulting decomposition is of a structure similar to that obtained using the Bunch-Kaufman-Parlett algorithm. The decomposition can be used in a direct solution algorithm for indefinite systems, but it can also be used to construct effective preconditioners. Combinations of the latter with conjugate gradient type methods have been demonstrated to be very useful
After briefly recalling some relevant approaches for preconditioning large symmetric linear systems,...
The equality constrained indefinite least squares problem involves the minimization of an indefinite...
AbstractIn this paper, we study the direct solvers for the linear system Ax=b, where A is symmetric ...
In this paper, indefinite linear systems with linear constraints are considered. We present a specia...
AbstractIn this paper, indefinite linear systems with linear constraints are considered. We present ...
The problem of finding good preconditioners for the numerical solution of indefinite linear systems ...
The problem of finding good preconditioners for the numerical solution of a certain important class ...
We consider the application of the conjugate gradient method to the solution of large, symmetric ind...
We consider the application of the conjugate gradient method to the solution of large symmetric, ind...
We propose a class of preconditioners for symmetric linear systems arising from numerical analysis a...
After briefly recalling some relevant approaches for preconditioning large symmetric linear systems,...
1 Preconditioning Indefinite Systems in Interior Point Methods for Large Scale Linear Optimization A...
Abstract. We consider the application of the conjugate gradient method to the solution of large symm...
After briefly recalling some relevant approaches for preconditioning large symmetric linear systems,...
The equality constrained indefinite least squares problem involves the minimization of an indefinite...
AbstractIn this paper, we study the direct solvers for the linear system Ax=b, where A is symmetric ...
In this paper, indefinite linear systems with linear constraints are considered. We present a specia...
AbstractIn this paper, indefinite linear systems with linear constraints are considered. We present ...
The problem of finding good preconditioners for the numerical solution of indefinite linear systems ...
The problem of finding good preconditioners for the numerical solution of a certain important class ...
We consider the application of the conjugate gradient method to the solution of large, symmetric ind...
We consider the application of the conjugate gradient method to the solution of large symmetric, ind...
We propose a class of preconditioners for symmetric linear systems arising from numerical analysis a...
After briefly recalling some relevant approaches for preconditioning large symmetric linear systems,...
1 Preconditioning Indefinite Systems in Interior Point Methods for Large Scale Linear Optimization A...
Abstract. We consider the application of the conjugate gradient method to the solution of large symm...
After briefly recalling some relevant approaches for preconditioning large symmetric linear systems,...
The equality constrained indefinite least squares problem involves the minimization of an indefinite...
AbstractIn this paper, we study the direct solvers for the linear system Ax=b, where A is symmetric ...