Large sparsely populated matrices of diagonal character are common in finite element calculations. Computer time is saved and exactness improved if the matrix bandwidth is small. Therefore it is useful to apply a bandwidth reduction procedure to finite element programs, which renumbers the nodal points with the goal of minimum differences between neighboured node numbers. A bandwidth reduction algorithm created by Collins was tested. Some improvements were implemented and its applicability extended to large elements, with 8 nodes instead of 4. A test run dealt with a real technical structural problem. The experiences exhibit an excellent efficiency. It is to recommend to append this procedure as prerunning one to all kinds of finite element...
Abstract — In this article we first review previous exact approaches as well as theoretical contribu...
In Part I of this work, Paulino et a/. ' have presented an algorithm for profile and wavefront ...
Abstract. For a sparse symmetric matrix, there has been much attention given to algorithms for reduc...
summary:The matrix of the system of linear algebraic equations, arising in the application of the fi...
A straightforward and general computer program for assembling and solving (using Gauss elimination t...
Renumbering algorithms commonly in use for the band solver are generally applicable for any kind of ...
In this paper, a new viable bandwidth reduction algorithm for reducing the bandwidth of sparse symme...
The bandwidth, average bandwidth, envelope, profile and antibandwidth of the matrices have been the ...
Since 1969 a standard approach to the reduction of matrix bandwidth and profile has been to grow roo...
This paper studies heuristics for the bandwidth reduction of large-scale matrices in serial computat...
Reducing the bandwidth in solving linear algebraic systems arising in the finite element metho
An interactive graphics software package which allows users to display the non-zero structure of lar...
AbstractComputational and storage costs of resolution of large sparse linear systems Ax=b can be per...
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...
Abstract — In this article we first review previous exact approaches as well as theoretical contribu...
In Part I of this work, Paulino et a/. ' have presented an algorithm for profile and wavefront ...
Abstract. For a sparse symmetric matrix, there has been much attention given to algorithms for reduc...
summary:The matrix of the system of linear algebraic equations, arising in the application of the fi...
A straightforward and general computer program for assembling and solving (using Gauss elimination t...
Renumbering algorithms commonly in use for the band solver are generally applicable for any kind of ...
In this paper, a new viable bandwidth reduction algorithm for reducing the bandwidth of sparse symme...
The bandwidth, average bandwidth, envelope, profile and antibandwidth of the matrices have been the ...
Since 1969 a standard approach to the reduction of matrix bandwidth and profile has been to grow roo...
This paper studies heuristics for the bandwidth reduction of large-scale matrices in serial computat...
Reducing the bandwidth in solving linear algebraic systems arising in the finite element metho
An interactive graphics software package which allows users to display the non-zero structure of lar...
AbstractComputational and storage costs of resolution of large sparse linear systems Ax=b can be per...
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...
Abstract — In this article we first review previous exact approaches as well as theoretical contribu...
In Part I of this work, Paulino et a/. ' have presented an algorithm for profile and wavefront ...
Abstract. For a sparse symmetric matrix, there has been much attention given to algorithms for reduc...