Nearly Optimal Communication and Query Complexity of Bipartite Matching

08/04/2022
by   Joakim Blikstad, et al.
0

We settle the complexities of the maximum-cardinality bipartite matching problem (BMM) up to poly-logarithmic 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/03/2021

Average-Case Communication Complexity of Statistical Problems

We study statistical problems, such as planted clique, its variants, and...
research
04/29/2020

The Dual Polynomial of Bipartite Perfect Matching

We obtain a description of the Boolean dual function of the Bipartite Pe...
research
05/18/2023

Submodularity Gaps for Selected Network Design and Matching Problems

Submodularity in combinatorial optimization has been a topic of many stu...
research
02/20/2023

Fast Algorithms via Dynamic-Oracle Matroids

We initiate the study of matroid problems in a new oracle model called d...
research
03/02/2022

Algebraic Representations of Unique Bipartite Perfect Matching

We obtain complete characterizations of the Unique Bipartite Perfect Mat...
research
02/01/2019

The Application of Bipartite Matching in Assignment Problem

The optimized assignment of staff is of great significance for improving...
research
05/20/2022

Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions

Augmenting algorithms with learned predictions is a promising approach f...

Please sign up or login with your details

Forgot password? Click here to reset