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  Dynamic spanning forest with worst-case update time: adaptive, Las Vegas, and O(n1/2 - ε)-time

Nanongkai, D., & Saranurak, T. (2017). Dynamic spanning forest with worst-case update time: adaptive, Las Vegas, and O(n1/2 - ε)-time. In H. Hatami, P. McKenzie, & V. King (Eds.), STOC '17 (pp. 1122-1129). New York, NY: ACM.

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Genre: Conference Paper
Latex : Dynamic Spanning Forest with Worst-Case Update Time: {A}daptive, {Las Vegas}, and $O(n^{1/2-\epsilon})$-Time

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 Creators:
Nanongkai, Danupon1, Author                 
Saranurak, Thatchaphol1, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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Language(s): eng - English
 Dates: 2016-11-112017-04-172017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: NanongkaiSTOC2017
DOI: 10.1145/3055399.3055447
 Degree: -

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Title: 49th Annual ACM SIGACT Symposium on Theory of Computing
Place of Event: Montreal, Canada
Start-/End Date: 2017-06-19 - 2017-06-23

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Title: STOC '17
  Subtitle : Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing
  Abbreviation : STOC 2017
Source Genre: Proceedings
 Creator(s):
Hatami, Hamed1, Editor
McKenzie, Pierre1, Editor
King, Valerie1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1122 - 1129 Identifier: ISBN: 978-1-4503-4528-6