In Gaussian elimination it is often desirable to preserve existing zeros (sparsity). This is closely related to perfect elimination schemes on graphs. Such schemes can be found in polynomial time. Gaussian elimination uses a pivot for each column, so opportunities for preserving sparsity can be missed. In this paper we consider a more flexible process that selects a pivot for each nonzero to be eliminated and show that recognizing matrices that allow such perfect partial elimination schemes is NP-hard
An abstract view of symmetric gaussian elimination is presented. Problems are viewed as an assembly ...
This paper considers elimination methods to solve dense linear systems, in particular a variant of G...
This paper surveys some of the recent research on the applications of the algebraic and combinatoria...
In Gaussian elimination it is often desirable to preserve existing zeros (sparsity). This is closely...
In Gaussian elimination it is often desirable to preserve existing zeros (sparsity). This is closely...
When applying Gaussian elimination to a sparse matrix, it is desirable to avoid turning zeros into n...
Abstract. When applying Gaussian elimination to a sparse matrix, it is desirable to avoid turning ze...
AbstractWe extend a result of D. J. Rose [9] on perfect Gaussian elimination for symmetric matrices....
Abstract. In this paper we consider two structure prediction problems of interest in Gaussian elimin...
Consider the problem of determining the pivot sequence used by the Gaussian Elimination algorithm wi...
We propose several techniques as alternatives to partial pivoting to stabilize sparse Gaussian elimi...
AbstractA variant of the fraction free form of Gaussian elimination is presented. This algorithm red...
A variant of the fraction free form of Gaussian elimination is presented. This algorithm reduces the...
AbstractLet M be a symmetric matrix with non-zero diagonal entries. A result of Golumbic [3, 5] stat...
AbstractThis paper discusses a method for determining a good pivoting sequence for Gaussian eliminat...
An abstract view of symmetric gaussian elimination is presented. Problems are viewed as an assembly ...
This paper considers elimination methods to solve dense linear systems, in particular a variant of G...
This paper surveys some of the recent research on the applications of the algebraic and combinatoria...
In Gaussian elimination it is often desirable to preserve existing zeros (sparsity). This is closely...
In Gaussian elimination it is often desirable to preserve existing zeros (sparsity). This is closely...
When applying Gaussian elimination to a sparse matrix, it is desirable to avoid turning zeros into n...
Abstract. When applying Gaussian elimination to a sparse matrix, it is desirable to avoid turning ze...
AbstractWe extend a result of D. J. Rose [9] on perfect Gaussian elimination for symmetric matrices....
Abstract. In this paper we consider two structure prediction problems of interest in Gaussian elimin...
Consider the problem of determining the pivot sequence used by the Gaussian Elimination algorithm wi...
We propose several techniques as alternatives to partial pivoting to stabilize sparse Gaussian elimi...
AbstractA variant of the fraction free form of Gaussian elimination is presented. This algorithm red...
A variant of the fraction free form of Gaussian elimination is presented. This algorithm reduces the...
AbstractLet M be a symmetric matrix with non-zero diagonal entries. A result of Golumbic [3, 5] stat...
AbstractThis paper discusses a method for determining a good pivoting sequence for Gaussian eliminat...
An abstract view of symmetric gaussian elimination is presented. Problems are viewed as an assembly ...
This paper considers elimination methods to solve dense linear systems, in particular a variant of G...
This paper surveys some of the recent research on the applications of the algebraic and combinatoria...