The complexity of minimizing certain cost metrics for k-source spanning trees

  • Authors:
  • Harold S. Connamacher;Andrzej Proskurowski

  • Affiliations:
  • Department of Computer and Information Science, University of Oregon, Eugene, OR;Department of Computer and Information Science, University of Oregon, Eugene, OR

  • Venue:
  • Discrete Applied Mathematics - Special issue: The second international colloquium, "journées de l'informatique messine"
  • Year:
  • 2003

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Abstract

We investigate multisource spanning tree problems where, given a graph with edge weights and a subset of the nodes defined as sources, the object is to find a spanning tree of the graph that minimizes some distance-related cost metric. This problem can be used to model multicasting in a network where messages are sent from a fixed collection of senders and communication takes place along the edges of a single spanning tree. For a limited set of possible cost metrics of such a spanning tree, we either prove the problem is NP-hard or we demonstrate the existence of an efficient algorithm to find an optimal tree.