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Divide and Conquer Is Almost Optimal for the Bounded-Hop MST Problem on Random Euclidean Instances.

Andrea E. F. ClementiMiriam Di IanniAngelo MontiMassimo LauriaGianluca RossiRiccardo Silvestri
Published in: SIROCCO (2005)
Keyphrases
  • randomly generated
  • asymptotically optimal
  • dynamic programming
  • training instances
  • optimal solution
  • worst case
  • euclidean distance
  • closed form
  • euclidean space
  • optimal control
  • random instances