License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FSTTCS.2021.28
URN: urn:nbn:de:0030-drops-155391
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/15539/
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Lokshtanov, Daniel ; Saurabh, Saket ; Suri, Subhash ; Xue, Jie

An ETH-Tight Algorithm for Multi-Team Formation

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LIPIcs-FSTTCS-2021-28.pdf (0.7 MB)


Abstract

In the Multi-Team Formation problem, we are given a ground set C of n candidates, each of which is characterized by a d-dimensional attribute vector in ℝ^d, and two positive integers α and β satisfying α β ≤ n. The goal is to form α disjoint teams T₁,...,T_α ⊆ C, each of which consists of β candidates in C, such that the total score of the teams is maximized, where the score of a team T is the sum of the h_j maximum values of the j-th attributes of the candidates in T, for all j ∈ {1,...,d}. Our main result is an 2^{2^O(d)} n^O(1)-time algorithm for Multi-Team Formation. This bound is ETH-tight since a 2^{2^{d/c}} n^O(1)-time algorithm for any constant c > 12 can be shown to violate the Exponential Time Hypothesis (ETH). Our algorithm runs in polynomial time for all dimensions up to d = clog log n for a sufficiently small constant c > 0. Prior to our work, the existence of a polynomial time algorithm was an open problem even for d = 3.

BibTeX - Entry

@InProceedings{lokshtanov_et_al:LIPIcs.FSTTCS.2021.28,
  author =	{Lokshtanov, Daniel and Saurabh, Saket and Suri, Subhash and Xue, Jie},
  title =	{{An ETH-Tight Algorithm for Multi-Team Formation}},
  booktitle =	{41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2021)},
  pages =	{28:1--28:9},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-215-0},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{213},
  editor =	{Boja\'{n}czy, Miko{\l}aj and Chekuri, Chandra},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/15539},
  URN =		{urn:nbn:de:0030-drops-155391},
  doi =		{10.4230/LIPIcs.FSTTCS.2021.28},
  annote =	{Keywords: Team formation, Parameterized algorithms, Exponential Time Hypothesis}
}

Keywords: Team formation, Parameterized algorithms, Exponential Time Hypothesis
Collection: 41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2021)
Issue Date: 2021
Date of publication: 29.11.2021


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