Finding Adam in random growing trees1. Issue 2 (17th November 2016)
- Record Type:
- Journal Article
- Title:
- Finding Adam in random growing trees1. Issue 2 (17th November 2016)
- Main Title:
- Finding Adam in random growing trees1
- Authors:
- Bubeck, Sébastien
Devroye, Luc
Lugosi, Gábor - Abstract:
- ABSTRACT: We investigate algorithms to find the first vertex in large trees generated by either the uniform attachment or preferential attachment model. We require the algorithm to output a set of K vertices, such that, with probability at least 1 − ε, the first vertex is in this set. We show that for any ε, there exist such algorithms with K independent of the size of the input tree. Moreover, we provide almost tight bounds for the best value of K as a function of ε . In the uniform attachment case we show that the optimal K is subpolynomial in 1 / ε, and that it has to be at least superpolylogarithmic. On the other hand, the preferential attachment case is exponentially harder, as we prove that the best K is polynomial in 1 / ε . We conclude the paper with several open problems. © 2016 Wiley Periodicals, Inc. Random Struct. Alg., 50, 158–172, 2017
- Is Part Of:
- Random structures & algorithms. Volume 50:Issue 2(2017)
- Journal:
- Random structures & algorithms
- Issue:
- Volume 50:Issue 2(2017)
- Issue Display:
- Volume 50, Issue 2 (2017)
- Year:
- 2017
- Volume:
- 50
- Issue:
- 2
- Issue Sort Value:
- 2017-0050-0002-0000
- Page Start:
- 158
- Page End:
- 172
- Publication Date:
- 2016-11-17
- Subjects:
- root‐finding algorithms -- random trees -- polya urns
Random graphs -- Periodicals
Mathematical analysis -- Periodicals
519 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1098-2418 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/rsa.20649 ↗
- Languages:
- English
- ISSNs:
- 1042-9832
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7254.411950
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 673.xml