, Volume 14, Issue 4, pp 305–321

Balancing minimum spanning trees and shortest-path trees

  • S. Khuller
  • B. Raghavachari
  • N. Young

DOI: 10.1007/BF01294129

Cite this article as:
Khuller, S., Raghavachari, B. & Young, N. Algorithmica (1995) 14: 305. doi:10.1007/BF01294129


We give a simple algorithm to find a spanning tree that simultaneously approximates a shortest-path tree and a minimum spanning tree. The algorithm provides a continuous tradeoff: given the two trees and aγ>0, the algorithm returns a spanning tree in which the distance between any vertex and the root of the shortest-path tree is at most 1+√2γ times the shortest-path distance, and yet the total weight of the tree is at most 1+√2/γ times the weight of a minimum spanning tree. Our algorithm runs in linear time and obtains the best-possible tradeoff. It can be implemented on a CREW PRAM to run a logarithmic time using one processor per vertex.

Key words

Minimum spanning trees Graph algorithms Parallel algorithms Shortest paths 

Copyright information

© Springer-Verlag New York Inc. 1995

Authors and Affiliations

  • S. Khuller
    • 1
  • B. Raghavachari
    • 2
  • N. Young
    • 3
  1. 1.Department of Computer Science and Institute for Advanced Computer StudiesUniversity of MarylandCollege ParkUSA
  2. 2.Department of Computer ScienceUniversity of Texas at DallasRichardsonUSA
  3. 3.Department of Computer SciencePrinceton UniversityPrincetonUSA

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