Algorithmic and Analysis Techniques in Property Testing

Algorithmic and Analysis Techniques in Property Testing
Author :
Publisher : Now Publishers Inc
Total Pages : 151
Release :
ISBN-10 : 9781601983183
ISBN-13 : 1601983182
Rating : 4/5 (83 Downloads)

Book Synopsis Algorithmic and Analysis Techniques in Property Testing by : Dana Ron

Download or read book Algorithmic and Analysis Techniques in Property Testing written by Dana Ron and published by Now Publishers Inc. This book was released on 2010 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: Property testing algorithms are ultra"-efficient algorithms that decide whether a given object (e.g., a graph) has a certain property (e.g., bipartiteness), or is significantly different from any object that has the property. To this end property testing algorithms are given the ability to perform (local) queries to the input, though the decisions they need to make usually concern properties with a global nature. In the last two decades, property testing algorithms have been designed for many types of objects and properties, amongst them, graph properties, algebraic properties, geometric properties, and more. In this article we survey results in property testing, where our emphasis is on common analysis and algorithmic techniques. Among the techniques surveyed are the following: a) The self-correcting approach, which was mainly applied in the study of property testing of algebraic properties; b) The enforce and test approach, which was applied quite extensively in the analysis of algorithms for testing graph properties (in the dense-graphs model), as well as in other contexts; c) Szemeredi's Regularity Lemma, which plays a very important role in the analysis of algorithms for testing graph properties (in the dense-graphs model); d) The approach of Testing by implicit learning, which implies efficient testability of membership in many functions classes. e) Algorithmic techniques for testing properties of sparse graphs, which include local search and random walks.


Algorithmic and Analysis Techniques in Property Testing Related Books

Algorithmic and Analysis Techniques in Property Testing
Language: en
Pages: 151
Authors: Dana Ron
Categories: Computers
Type: BOOK - Published: 2010 - Publisher: Now Publishers Inc

DOWNLOAD EBOOK

Property testing algorithms are ultra"-efficient algorithms that decide whether a given object (e.g., a graph) has a certain property (e.g., bipartiteness), or
Introduction to Property Testing
Language: en
Pages: 473
Authors: Oded Goldreich
Categories: Computers
Type: BOOK - Published: 2017-11-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

An extensive and authoritative introduction to property testing, the study of super-fast algorithms for the structural analysis of large quantities of data in o
Network Models for Data Science
Language: en
Pages: 501
Authors: Alan Julian Izenman
Categories: Mathematics
Type: BOOK - Published: 2022-12-31 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This is the first book to describe modern methods for analyzing complex networks arising from a wide range of disciplines.
Studies in Complexity and Cryptography
Language: en
Pages: 573
Authors: Oded Goldreich
Categories: Computers
Type: BOOK - Published: 2011-08-03 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Paying witness to the author’s thirty-year career in science, these high-quality papers, some co-written with colleagues, reflect his professional range, cove
Number Theory and Related Fields
Language: en
Pages: 395
Authors: Jonathan M. Borwein
Categories: Mathematics
Type: BOOK - Published: 2013-05-16 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

“Number Theory and Related Fields” collects contributions based on the proceedings of the "International Number Theory Conference in Memory of Alf van der P