特约专栏

Alexander Knop, Shachar Lovett, Sam McGuire, Weiqiang Yuan
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引用次数: 2

摘要

通信复杂度研究计算一个函数所需的通信量,该函数的值取决于分布在多个实体之间的信息。Yao [Yao79]在40多年前发起了对通信复杂性的研究,此后它已成为理论计算机科学的一个核心领域,在数据结构、流算法、属性测试、近似算法、编码理论和机器学习等不同领域有许多应用。教科书[KN06,RY20]提供了理论及其应用的优秀概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Guest Column
Communication complexity studies the amount of communication necessary to compute a function whose value depends on information distributed among several entities. Yao [Yao79] initiated the study of communication complexity more than 40 years ago, and it has since become a central eld in theoretical computer science with many applications in diverse areas such as data structures, streaming algorithms, property testing, approximation algorithms, coding theory, and machine learning. The textbooks [KN06,RY20] provide excellent overviews of the theory and its applications.
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