Add to ORKGThis program, REDUCE, reduces the bandwidth and profile of sparse symmetric matrices, using row and corresponding column permutations. It is a realization of the algorithm described by the authors elsewhere. It was extensively tested and compared with several other programs and was found to be considerably faster than the others, superior for bandwidth reduction and as satisfactory as any other for profile reduction
As the importance of memory access delays on performance has mushroomed over the past few decades, r...
The ordering of large sparse symmetric matrices for small pro"le and wavefront or for small ban...
A matrix having a high percentage of zero elements is called spares. In the solution of systems of l...
The paper describes a new bandwidth reduction method for sparse matrices which promises to be both f...
The problem of sparse matrix bandwidth reduction is addressed and solved with two approaches suitabl...
In this paper, a new viable bandwidth reduction algorithm for reducing the bandwidth of sparse symme...
Since 1969 a standard approach to the reduction of matrix bandwidth and profile has been to grow roo...
AbstractSince 1969 a standard approach to the reduction of matrix bandwidth and profile has been to ...
Abstract. For a sparse symmetric matrix, there has been much attention given to algorithms for reduc...
AbstractComputational and storage costs of resolution of large sparse linear systems Ax=b can be per...
This paper studies heuristics for the bandwidth reduction of large-scale matrices in serial computat...
An interactive graphics software package which allows users to display the non-zero structure of lar...
A simple and efficient algorithm for the bandwidth reduction of sparse symmetric matrices is propose...
Communication requirements of Cholesky factorization of dense and sparse symmetric, positive definit...
This work proposes the minimization of bandwidth in sparse symmetric Matrix, using genetic algorithm...
As the importance of memory access delays on performance has mushroomed over the past few decades, r...
The ordering of large sparse symmetric matrices for small pro"le and wavefront or for small ban...
A matrix having a high percentage of zero elements is called spares. In the solution of systems of l...
The paper describes a new bandwidth reduction method for sparse matrices which promises to be both f...
The problem of sparse matrix bandwidth reduction is addressed and solved with two approaches suitabl...
In this paper, a new viable bandwidth reduction algorithm for reducing the bandwidth of sparse symme...
Since 1969 a standard approach to the reduction of matrix bandwidth and profile has been to grow roo...
AbstractSince 1969 a standard approach to the reduction of matrix bandwidth and profile has been to ...
Abstract. For a sparse symmetric matrix, there has been much attention given to algorithms for reduc...
AbstractComputational and storage costs of resolution of large sparse linear systems Ax=b can be per...
This paper studies heuristics for the bandwidth reduction of large-scale matrices in serial computat...
An interactive graphics software package which allows users to display the non-zero structure of lar...
A simple and efficient algorithm for the bandwidth reduction of sparse symmetric matrices is propose...
Communication requirements of Cholesky factorization of dense and sparse symmetric, positive definit...
This work proposes the minimization of bandwidth in sparse symmetric Matrix, using genetic algorithm...
As the importance of memory access delays on performance has mushroomed over the past few decades, r...
The ordering of large sparse symmetric matrices for small pro"le and wavefront or for small ban...
A matrix having a high percentage of zero elements is called spares. In the solution of systems of l...