Academic Journal

Dynamic Matching with Better-than-2 Approximation in Polylogarithmic Update Time.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Dynamic Matching with Better-than-2 Approximation in Polylogarithmic Update Time.
Συγγραφείς: Bhattacharya, Sayan, Kiss, Peter, Saranurak, Thatchaphol, Wajc, David
Πηγή: Journal of the ACM; Oct2024, Vol. 71 Issue 5, p1-32, 32p
Θεματικοί όροι: Graph algorithms, Open-ended questions, Algorithms
Περίληψη: We present dynamic algorithms with polylogarithmic update time for estimating the size of the maximum matching of a graph undergoing edge insertions and deletions with approximation ratio strictly better than 2. Specifically, we obtain a \(1+\tfrac{1}{\sqrt {2}}+\epsilon \approx 1.707+\epsilon\) approximation in bipartite graphs and a \(1.973+\epsilon\) approximation in general graphs. We thus answer in the affirmative the value version of the major open question repeatedly asked in the dynamic graph algorithms literature. Our randomized algorithms' approximation and worst-case update time bounds both hold w.h.p. against adaptive adversaries. Our algorithms are based on simulating new two-pass streaming matching algorithms in the dynamic setting. Our key new idea is to invoke the recent sublinear-time matching algorithm of Behnezhad (FOCS'21) in a white-box manner to efficiently simulate the second pass of our streaming algorithms, while bypassing the well-known vertex-update barrier. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the ACM is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
Περιγραφή
ISSN:00045411
DOI:10.1145/3679009