基数估计和信息论不等式的最新研究结果

H. Ngo
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引用次数: 0

摘要

我想把这个小小的演讲献给Phan Dinh Dieu教授,他是越南计算机科学数学领域的巨人和先驱之一。在过去15年左右的时间里,数据库理论和信息论的基本问题之间出现了新的令人兴奋的联系。我们可以从几个角度来描述这种联系。受自身偏见和研究结果的影响,本文选取了一个这样的角度。特别是,我们将描述基数估计问题(查询优化器的基石问题)如何与信息理论不等式密切相关。此外,我们还解释了如何使用不等式来推导一些经典的几何不等式,如卢米斯-惠特尼不等式。这篇文章的目的之一是向读者介绍这些新的联系,理论和实践以一种奇妙的方式相遇。另一个目标是向读者指出一个有许多新的开放问题的研究领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RECENT RESULTS ON CARDINALITY ESTIMATION AND INFORMATION THEORETIC INEQUALITIES
I would like to dedicate this little exposition to Prof. Phan Dinh Dieu, one of the giants and pioneers of Mathematics in Computer Science in Vietnam. In the past 15 years or so, new and exciting connections between fundamental problems in database theory and information theory have emerged. There are several angles one can take to describe this connection. This paper takes one such angle, influenced by the author's own bias and research results. In particular, we will describe how the cardinality estimation problem -- a corner-stone problem for query optimizers -- is deeply connected to information theoretic inequalities. Furthermore, we explain how inequalities can also be used to derive a couple of classic geometric inequalities such as the Loomis-Whitney inequality. A purpose of the article is to introduce the reader to these new connections, where theory and practice meet in a wonderful way. Another objective is to point the reader to a research area with many new open questions.
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