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Finding a Length-Constrained Maximum-Density Path in a Tree

Author

Listed:
  • Rung-Ren Lin

    (National Taiwan University)

  • Wen-Hsiung Kuo

    (National Taiwan University)

  • Kun-Mao Chao

    (National Taiwan University)

Abstract

Let T = (V,E,w) be an undirected and weighted tree with node set V and edge set E, where w(e) is an edge weight function for e ∈ E. The density of a path, say e1, e2,..., e k , is defined as ∑ k i = 1 w(e i )/k. The length of a path is the number of its edges. Given a tree with n edges and a lower bound L where 1≤ L ≤ n, this paper presents two efficient algorithms for finding a maximum-density path of length at least L in O(nL) time. One of them is further modified to solve some special cases such as full m-ary trees in O(n) time.

Suggested Citation

  • Rung-Ren Lin & Wen-Hsiung Kuo & Kun-Mao Chao, 2005. "Finding a Length-Constrained Maximum-Density Path in a Tree," Journal of Combinatorial Optimization, Springer, vol. 9(2), pages 147-156, March.
  • Handle: RePEc:spr:jcomop:v:9:y:2005:i:2:d:10.1007_s10878-005-6853-7
    DOI: 10.1007/s10878-005-6853-7
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