Advances on Matroid Secretary Problems: Free Order Model and Laminar Case
Author(s)
Jaillet, Patrick; Soto, Jose A.; Zenklusen, Rico
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The best-known conjecture in the context of matroid secretary problems claims the existence of an O(1)-approximation applicable to any matroid. Whereas this conjecture remains open, modified forms of it were shown to be true, when assuming that the assignment of weights to the secretaries is not adversarial but uniformly at random [20,18]. However, so far, no variant of the matroid secretary problem with adversarial weight assignment is known that admits an O(1)-approximation. We address this point by presenting a 9-approximation for the free order model, a model suggested shortly after the introduction of the matroid secretary problem, and for which no O(1)-approximation was known so far. The free order model is a relaxed version of the original matroid secretary problem, with the only difference that one can choose the order in which secretaries are interviewed.
Furthermore, we consider the classical matroid secretary problem for the special case of laminar matroids. Only recently, a O(1)-approximation has been found for this case, using a clever but rather involved method and analysis [12] that leads to a 16000/3-approximation. This is arguably the most involved special case of the matroid secretary problem for which an O(1)-approximation is known. We present a considerably simpler and stronger 3√3e ≈ 14.12 -approximation, based on reducing the problem to a matroid secretary problem on a partition matroid.
Date issued
2013-03Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer ScienceJournal
Integer Programming and Combinatorial Optimization
Publisher
Springer-Verlag
Citation
Jaillet, Patrick, Jose A. Soto, and Rico Zenklusen. “Advances on Matroid Secretary Problems: Free Order Model and Laminar Case.” Lecture Notes in Computer Science (2013): 254–265.
Version: Author's final manuscript
ISBN
978-3-642-36693-2
978-3-642-36694-9
ISSN
0302-9743
1611-3349