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Sublinear Time Property Testers - Algorithms for Efficient Function Analysis

Offered By: Churchill CompSci Talks via YouTube

Tags

Computational Complexity Courses Graph Theory Courses Randomized Algorithms Courses Sublinear Algorithms Courses

Course Description

Overview

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Explore the fascinating world of sublinear time property testers in this 28-minute conference talk by Louis-Pascal Xhonneux. Delve into the concept of property testing, which aims to determine whether an unknown function possesses a specific property. Learn how this decision problem is relaxed through two key aspects: the promise that the property is either satisfied or far from being satisfied, and the allowance for a small error probability. Discover how these relaxations enable the creation of incredibly fast testers that operate in sublinear time relative to input size. Examine two illustrative example problems: testing graph bipartiteness and checking if a binary input sequence contains a fixed string as a subsequence. Gain insights into the sublinear query complexity of these algorithms and how they read only a fraction of the input. Conclude with a brief survey of related areas and their connections to property testing, broadening your understanding of this intriguing field in computer science.

Syllabus

Sublinear time property testers


Taught by

Churchill CompSci Talks

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