ACM Home Page
Please provide us with feedback. Feedback
Reducing the bandwidth of sparse symmetric matrices
Full text PdfPdf (598 KB)
Source ACM Annual Conference/Annual Meeting archive
Proceedings of the 1969 24th national conference table of contents
Pages: 157 - 172  
Year of Publication: 1969
Authors
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 50,   Downloads (12 Months): 335,   Citation Count: 49
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/800195.805928
What is a DOI?

ABSTRACT

The finite element displacement method of analyzing structures involves the solution of large systems of linear algebraic equations with sparse, structured, symmetric coefficient matrices. There is a direct correspondence between the structure of the coefficient matrix, called the stiffness matrix in this case, and the structure of the spatial network delineating the element layout. For the efficient solution of these systems of equations, it is desirable to have an automatic nodal numbering (or renumbering) scheme to ensure that the corresponding coefficient matrix will have a narrow bandwidth. This is the problem considered by R. Rosen1. A direct method of obtaining such a numbering scheme is presented. In addition several methods are reviewed and compared.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
R. S. Varga, "Matrix Iterative Analysis." Prentice-Hall, Inc., New York (1962).
 
3
B. A. Carré, "The partitioning of network problems for block iteration." Computer Journal 9, (1966), pp. 84-97.
 
4
S. Parter, "The use of linear graphs in Gauss elimination." SIAM Review 3, (1961), pp. 119-130.
 
5
N. Sato and W. F. Tinney, "Techniques for exploiting the sparsity of the network admittance matrix." IEEE Transactions on Power Apparatus and Systems, 82, (1963), pp. 944-950.
 
6
R. P. Tewarson, "Solution of a system of simultaneous linear equations with a sparse coefficient matrix by elimination methods." BIT 7, (1967), pp. 226-239.
 
7
A. Nathan and R. K. Even, "The inversion of sparse matrices by a strategy derived from their graphs." Computer Journal 9, (1966), pp. 190-194.
 
8
D. V. Steward, "On an approach to techniques for the analysis of the structure of large systems of equations." SIAM Review 4, (1962), pp. 321-342.
 
9
R. P. Tewarson, "Row-Column permutation of sparse matrices." Computer Journal 10, (1967), pp. 300-305.
 
10
F. A. Akyuz and S. Utku, "An automatic relabeling scheme for bandwidth minimization of stiffness matrices." AIAA Journal, 6, (1968), pp. 728-730.
 
11
G. G. Alway and D. W. Martin, "An algorithm for reducing the bandwidth of a matrix of symmetrical configuration." Computer Journal 8, (1965), pp. 264-272.
 
12
A. Jennings, "A compact storage scheme for the solution of symmetric linear simultaneous equations." Computer Journal 9, (1966), pp.281-285
 
13
F. Harary, "A graph theoretic approach to matrix inversion by partitioning." Numerische Mathematik, 4, (1962), pp. 128-135.

CITED BY  49