학술논문

Nearly Optimal Communication and Query Complexity of Bipartite Matching
Document Type
Conference
Source
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS) FOCS Foundations of Computer Science (FOCS), 2022 IEEE 63rd Annual Symposium on. :1174-1185 Oct, 2022
Subject
Computing and Processing
Computer science
Analytical models
Quantum computing
Computational modeling
Complexity theory
F.1.1 Models of Computation
F.1.3 Complexity Measures and Classes
F.2 Analysis of Algorithms and Problem Complexity
Language
ISSN
2575-8454
Abstract
We settle the complexities of the maximum-cardinality bipartite matching problem (BMM) up to polylogarithmic factors in five models of computation: the two-party communication, AND query, OR query, XOR query, and quantum edge query models. Our results answer open problems that have been raised repeatedly since at least three decades ago [Hajnal, Maass, and Turan STOC’88; Ivanyos, Klauck, Lee, Santha, and de Wolf FSTTCS’12; Dobzinski, Nisan, and Oren STOC’14; Nisan SODA’21] and tighten the lower bounds shown by Beniamini and Nisan [STOC’21] and Zhang [ICALP’04]. We also settle the communication complexity of the generalizations of BMM, such as maximum-cost bipartite b-matching and transshipment; and the query complexity of unique bipartite perfect matching (answering an open question by Beniamini [2022]). Our algorithms and lower bounds follow from simple applications of known techniques such as cutting planes methods and set disjointness.