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From Balls and Bins to Points and Vertices
Author(s) -
Ralf Klasing,
Zvi Lotker,
Alfredo Navarra,
Stéphane Pérennès
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-30935-7
DOI - 10.1007/11602613_76
Subject(s) - combinatorics , bijection , mathematics , distance , random graph , upper and lower bounds , graph , binary logarithm , relocation , discrete mathematics , randomized algorithm , polynomial , computer science , shortest path problem , mathematical analysis , programming language
Given a graph G=(V,E) with |V|=n, we consider the following problem. Place n points on the vertices of G independently and uniformly at random. Once the points are placed, relocate them using a bijection from the points to the vertices that minimizes the maximum distance between the random place of the points and their target vertices. We look for an upper bound on this maximum relocation distance that holds with high probability (over the initial placements of the points). For general graphs, we prove the #P-hardness of the problem and that the maximum relocation distance is O(Ön)O(\sqrt{n}) with high probability. We also present a Fully Polynomial Randomized Approximation Scheme when the input graph admits a polynomial-size family of witness cuts while for trees we provide a 2-approximation algorithm.

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