skip to main content
10.1145/800195.805928acmconferencesArticle/Chapter ViewAbstractPublication Pagesacm-national-conferenceConference Proceedingsconference-collections
Article
Free Access

Reducing the bandwidth of sparse symmetric matrices

Published:26 August 1969Publication History

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

  1. 1.R. Rosen, "Matrix bandwidth minimization." Proceedings of 23rd National Conference, ACM, ACM Publication P-68, Brandon/Systems Press, Princeton, N. J. (1968), pp. 585-595. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.R. S. Varga, "Matrix Iterative Analysis." Prentice-Hall, Inc., New York (1962).Google ScholarGoogle Scholar
  3. 3.B. A. Carré, "The partitioning of network problems for block iteration." Computer Journal 9, (1966), pp. 84-97.Google ScholarGoogle ScholarCross RefCross Ref
  4. 4.S. Parter, "The use of linear graphs in Gauss elimination." SIAM Review 3, (1961), pp. 119-130.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 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.Google ScholarGoogle ScholarCross RefCross Ref
  6. 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.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. 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.Google ScholarGoogle Scholar
  8. 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.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 9.R. P. Tewarson, "Row-Column permutation of sparse matrices." Computer Journal 10, (1967), pp. 300-305.Google ScholarGoogle ScholarCross RefCross Ref
  10. 10.F. A. Akyuz and S. Utku, "An automatic relabeling scheme for bandwidth minimization of stiffness matrices." AIAA Journal, 6, (1968), pp. 728-730.Google ScholarGoogle ScholarCross RefCross Ref
  11. 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.Google ScholarGoogle ScholarCross RefCross Ref
  12. 12.A. Jennings, "A compact storage scheme for the solution of symmetric linear simultaneous equations." Computer Journal 9, (1966), pp.281-285Google ScholarGoogle ScholarCross RefCross Ref
  13. 13.F. Harary, "A graph theoretic approach to matrix inversion by partitioning." Numerische Mathematik, 4, (1962), pp. 128-135.Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Reducing the bandwidth of sparse symmetric matrices

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          ACM '69: Proceedings of the 1969 24th national conference
          August 1969
          686 pages

          Copyright © 1969 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 26 August 1969

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • Article

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader