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Efficient algorithms for finding minimum spanning forests of hierarchically defined graphs

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 210))

Abstract

In [L 85a] a hierarchical graph model is defined that allows the exploitation of the hierarchy for the more efficient solution of graph problems on very large graphs. The model is motivated by applications in the design of VLSI circuits.

We show how to efficiently find minimum spanning forests in this graph model. We solve decision problems pertaining to minimum spanning forests in almost linear time in the length of the hierarchical description, query problems in time linear in the depth of the hierarchy and we construct minimum spanning forests in space linear in the length of the hierarchical description.

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References

  1. H.N. Gabow/Z. Galil /T. Spencer/R.E. Tarjan: Efficient Algorithms for Finding Minimum Spanning Trees in Undirected and Directed Graphs. Typescript 1985, to appear in COMBINATORIKA

    Google Scholar 

  2. M.R. Garey/D.S. Johnson: Computers and Intractability: A Guide to the Theory of NP-Completeness. Freeman, San Francisco (CA), 1979

    Google Scholar 

  3. T. Lengauer/K. Mehlhorn: The HILL-System: A design environment for the hierarchical specification, compaction, and simulation of integrated circuit layouts. Proc. Conference on Advanced Research in VLSI (ed. P. Penfield Jr.) M.I.T. (1984), 139–149

    Google Scholar 

  4. D. Harel/R.E. Tarjan: Fast algorithms for finding nearest common ancestors. In: SICOMP 13.2 (1984), 338–355

    Google Scholar 

  5. T. Lengauer: The complexity of compacting hierarchically specified layouts of integrated circuits. 23rd IEEE-FOCS 1982, 358–368

    Google Scholar 

  6. T. Lengauer: Efficient solution of connectivity problems on hierarchically defined graphs. Reihe "Theoretische Informatik" No. 24, FB 17, Universität-Gesamthochschule Paderborn, Paderborn, West-Germany, 1985

    Google Scholar 

  7. T. Lengauer: Hierarchical planarity testing algorithms. Reihe "Theoretische Informatik" No. 25, FB 17, Universität-Gesamthochschule Paderborn, Paderborn, West-Germany, 1985

    Google Scholar 

  8. T. Lengauer: Efficient algorithms for finding minimum spanning forests of hierarchically defined graphs. Reihe "Theoretische Informatik" No. 26, FB 17, Universität-Gesamthochschule Paderborn, Paderborn, West-Germany, 1985

    Google Scholar 

  9. R.E. Tarjan: Data structures and network algorithms. SIAM, Philadelphia (PA), 1983

    Google Scholar 

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B. Monien G. Vidal-Naquet

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© 1985 Springer-Verlag Berlin Heidelberg

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Lengauer, T. (1985). Efficient algorithms for finding minimum spanning forests of hierarchically defined graphs. In: Monien, B., Vidal-Naquet, G. (eds) STACS 86. STACS 1986. Lecture Notes in Computer Science, vol 210. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-16078-7_73

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  • DOI: https://doi.org/10.1007/3-540-16078-7_73

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16078-6

  • Online ISBN: 978-3-540-39758-8

  • eBook Packages: Springer Book Archive

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