The paper describes a new bandwidth reduction method for sparse matrices which promises to be both fast and effective in comparison with known methods. The algorithm operates on the undirected graph corresponding to the incidence matrix induced by the original sparse matrix, and separates into three distinct phases: (1) determination of a spanning tree of maximum length, (2) modification of the spanning tree into a free level structure of small width, (3) level-by-level numbering of the level structure. The final numbering produced corresponds to a renumbering of the rows and columns of a sparse matrix so as to concentrate non-zero elements of the matrix in a band about the main diagonal
Introduction Given an undirected graph G = (V; E) on n vertices, a linear arrangement (also called ...
Most research in algorithm design relies on worst-case analysis for performance comparisons. Unfortu...
A simple and efficient algorithm for the bandwidth reduction of sparse symmetric matrices is propose...
In this paper, a new viable bandwidth reduction algorithm for reducing the bandwidth of sparse symme...
AbstractSince 1969 a standard approach to the reduction of matrix bandwidth and profile has been to ...
The problem of sparse matrix bandwidth reduction is addressed and solved with two approaches suitabl...
Abstract. For a sparse symmetric matrix, there has been much attention given to algorithms for reduc...
Since 1969 a standard approach to the reduction of matrix bandwidth and profile has been to grow roo...
AbstractComputational and storage costs of resolution of large sparse linear systems Ax=b can be per...
This program, REDUCE, reduces the bandwidth and profile of sparse symmetric matrices, using row and ...
This paper studies heuristics for the bandwidth reduction of large-scale matrices in serial computat...
In this paper we present heuristic techniques for the reduction of the bandwidth of a sparse matrix...
Most research in algorithm design relies on worst-case analysis for performance comparisons. Unfortu...
Abstract Most research in algorithm design relies on worstcase analysis for performance com parison...
Abstract — In this article we first review previous exact approaches as well as theoretical contribu...
Introduction Given an undirected graph G = (V; E) on n vertices, a linear arrangement (also called ...
Most research in algorithm design relies on worst-case analysis for performance comparisons. Unfortu...
A simple and efficient algorithm for the bandwidth reduction of sparse symmetric matrices is propose...
In this paper, a new viable bandwidth reduction algorithm for reducing the bandwidth of sparse symme...
AbstractSince 1969 a standard approach to the reduction of matrix bandwidth and profile has been to ...
The problem of sparse matrix bandwidth reduction is addressed and solved with two approaches suitabl...
Abstract. For a sparse symmetric matrix, there has been much attention given to algorithms for reduc...
Since 1969 a standard approach to the reduction of matrix bandwidth and profile has been to grow roo...
AbstractComputational and storage costs of resolution of large sparse linear systems Ax=b can be per...
This program, REDUCE, reduces the bandwidth and profile of sparse symmetric matrices, using row and ...
This paper studies heuristics for the bandwidth reduction of large-scale matrices in serial computat...
In this paper we present heuristic techniques for the reduction of the bandwidth of a sparse matrix...
Most research in algorithm design relies on worst-case analysis for performance comparisons. Unfortu...
Abstract Most research in algorithm design relies on worstcase analysis for performance com parison...
Abstract — In this article we first review previous exact approaches as well as theoretical contribu...
Introduction Given an undirected graph G = (V; E) on n vertices, a linear arrangement (also called ...
Most research in algorithm design relies on worst-case analysis for performance comparisons. Unfortu...
A simple and efficient algorithm for the bandwidth reduction of sparse symmetric matrices is propose...