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A fast minimal storage computational algorithm for determining a minimal spanning tree in a graph

Published:18 April 1977Publication History

ABSTRACT

When a system or process is represented as a graph and a unique interconnection between the quantities is desired the problem is one of selecting a spanning tree. Each spanning tree gives a unique path between vertices, but there are many spanning trees for a graph.

An algorithm for the selection of a minimal spanning tree for a given weighted connected graph, or a minimal spanning forest for a disconnected weighted graph is presented. The algorithm utilizes sparse matrix techniques, and the basic concept of ring sum operations to obtain the spanning tree, or forest. The minimality of the resultant spanning tree, or forest is proven. In addition, timing and storage requirements are determined. Several cases are studied including the worst case. The only restriction placed on the graphs is that they do not have any isolated vertices.

References

  1. Berztiss, Data Structures Theory and Practice, Academic Press, New York, 1975.Google ScholarGoogle Scholar
  2. Busacker & Saaty, <Finite Graphs and Networks, McGraw-Hill, New York, 1965.Google ScholarGoogle Scholar
  3. Elson, Data Structures, SRA, Chicago, Ill., 1975.Google ScholarGoogle Scholar
  4. Knuth, The Art of Computer Programming, Vol. 1, Addison Wesley, Reading, Mass., 1974.Google ScholarGoogle Scholar
  5. Knuth, The Art of Computer Programming, Vol. III, Addison Wesley, Reading, Mass., 1973.Google ScholarGoogle Scholar
  6. Liu, Introduction to Combinatorial Mathematics, McGraw-Hill, New York, N.Y., 1960.Google ScholarGoogle Scholar

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  1. A fast minimal storage computational algorithm for determining a minimal spanning tree in a graph

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          • Published in

            cover image ACM Conferences
            ACM-SE 15: Proceedings of the 15th annual Southeast regional conference
            April 1977
            547 pages
            ISBN:9781450373029
            DOI:10.1145/1795396

            Copyright © 1977 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 18 April 1977

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