AbstractWe consider the LDLT factorization of sparse skew symmetric matrices. We see that the pivoting strategies are similar, but simpler, to those used in the factorization of sparse symmetric indefinite matrices, and we briefly describe the algorithms used in a forthcoming direct code based on multifrontal techniques for the factorization of real skew symmetric matrices. We show how this factorization can be very efficient for preconditioning matrices that have a large skew component
AbstractLet A be a matrix whose sparsity pattern is a tree with maximal degree dmax. We show that if...
Sparse symmetric indefinite linear systems of equations arise in numerous practical applications. In...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
AbstractWe consider the LDLT factorization of sparse skew symmetric matrices. We see that the pivoti...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...
We are concerned with iterative solvers for large and sparse skew-symmetric linear systems. First we...
AbstractThe LDLT factorization of a symmetric indefinite matrix, although efficient computationally,...
We propose a two-level iterative scheme for solving general sparse linear systems. The proposed sche...
Copyright © 2021, Kent State University.We propose a two-level iterative scheme for solving general ...
Abstract. This paper discusses new pivoting factorization methods for solving sparse symmetric inden...
The performance of a sparse direct solver is dependent upon the pivot sequence that is chosen before...
We consider the use of 1 x 1 and 2x2 pivots for direct solution of sets of linear equations whose ma...
AbstractWe present a method for factoring a given matrix M into a short product of sparse matrices, ...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
AbstractLet A be a matrix whose sparsity pattern is a tree with maximal degree dmax. We show that if...
Sparse symmetric indefinite linear systems of equations arise in numerous practical applications. In...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
AbstractWe consider the LDLT factorization of sparse skew symmetric matrices. We see that the pivoti...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...
We are concerned with iterative solvers for large and sparse skew-symmetric linear systems. First we...
AbstractThe LDLT factorization of a symmetric indefinite matrix, although efficient computationally,...
We propose a two-level iterative scheme for solving general sparse linear systems. The proposed sche...
Copyright © 2021, Kent State University.We propose a two-level iterative scheme for solving general ...
Abstract. This paper discusses new pivoting factorization methods for solving sparse symmetric inden...
The performance of a sparse direct solver is dependent upon the pivot sequence that is chosen before...
We consider the use of 1 x 1 and 2x2 pivots for direct solution of sets of linear equations whose ma...
AbstractWe present a method for factoring a given matrix M into a short product of sparse matrices, ...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...
AbstractLet A be a matrix whose sparsity pattern is a tree with maximal degree dmax. We show that if...
Sparse symmetric indefinite linear systems of equations arise in numerous practical applications. In...
This paper focuses on efficiently solving large sparse symmetric indefinite systems of linear equati...