Numerical experiments are presented whereby the effect of reorderings on the convergence of preconditioned Krylov subspace methods for the solution of nonsymmetric linear systems is shown. The preconditioners used in this study are different variants of incomplete factorizations. It is shown that certain reorderings for direct methods, such as reverse Cuthill-McKee, can be very beneficial. The benefit can be seen in the reduction of the number of iterations and also in measuring the deviation of the preconditioned operator from the identity
In this paper we present effective preconditioning techniques for solving the nonsymmetric systems t...
By considering Krylov subspace methods in nonstandard inner products, we develop in this thesis new ...
We conduct experimental study on the behavior of several preconditioned iterative methods to solve n...
Efficient solution of sequences of linear systems is a task arising in numerous applications in engi...
. The effect of a threshold variant TPABLO of the permutation (and partitioning) algorithm PABLO on ...
Abstract. Incomplete factorization preconditioners such as ILU, ILUT and MILU are well-known robust ...
Second ordermethods for optimization call for the solution of sequences of linear systems. In this s...
Abstract. Krylov subspace methods have become very popular, not only for solving large scale linear ...
Existing convergence bounds for Krylov subspace methods such as GMRES for nonsymmetric linear system...
AbstractWe design, analyse and test a class of incomplete orthogonal factorization preconditioners c...
We present two new ways of preconditioning sequences of nonsymmetric linear systems in the special c...
Krylov subspace methods have become very popular, not only for solving large scale linear systems, b...
In many engineering applications, it is common to solve sequences of linear systems of the form A(n)...
of linear systems, permutations Many applications such as computational fluid dynamics, structural m...
Standard preconditioners, like incomplete factorizations, perform well when the coefficient matrix i...
In this paper we present effective preconditioning techniques for solving the nonsymmetric systems t...
By considering Krylov subspace methods in nonstandard inner products, we develop in this thesis new ...
We conduct experimental study on the behavior of several preconditioned iterative methods to solve n...
Efficient solution of sequences of linear systems is a task arising in numerous applications in engi...
. The effect of a threshold variant TPABLO of the permutation (and partitioning) algorithm PABLO on ...
Abstract. Incomplete factorization preconditioners such as ILU, ILUT and MILU are well-known robust ...
Second ordermethods for optimization call for the solution of sequences of linear systems. In this s...
Abstract. Krylov subspace methods have become very popular, not only for solving large scale linear ...
Existing convergence bounds for Krylov subspace methods such as GMRES for nonsymmetric linear system...
AbstractWe design, analyse and test a class of incomplete orthogonal factorization preconditioners c...
We present two new ways of preconditioning sequences of nonsymmetric linear systems in the special c...
Krylov subspace methods have become very popular, not only for solving large scale linear systems, b...
In many engineering applications, it is common to solve sequences of linear systems of the form A(n)...
of linear systems, permutations Many applications such as computational fluid dynamics, structural m...
Standard preconditioners, like incomplete factorizations, perform well when the coefficient matrix i...
In this paper we present effective preconditioning techniques for solving the nonsymmetric systems t...
By considering Krylov subspace methods in nonstandard inner products, we develop in this thesis new ...
We conduct experimental study on the behavior of several preconditioned iterative methods to solve n...