Abstract
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 \(O(\sqrt{n})\) 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.
The research was partially funded by the European project IST FET AEOLUS and by the European COST Action 293, “Graphs and Algorithms in Communication Networks” (GRAAL).
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Klasing, R., Lotker, Z., Navarra, A., Perennes, S. (2005). From Balls and Bins to Points and Vertices. In: Deng, X., Du, DZ. (eds) Algorithms and Computation. ISAAC 2005. Lecture Notes in Computer Science, vol 3827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11602613_76
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DOI: https://doi.org/10.1007/11602613_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30935-2
Online ISBN: 978-3-540-32426-3
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