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Using Additional Information in Streaming Algorithms

Language EnglishEnglish
Book Paperback
Book Using Additional Information in Streaming Algorithms Raffael Buff
Libristo code: 15498640
Publishers Anchor Academic Publishing, December 2016
Streaming problems are algorithmic problems that are mainly characterized by their massive input str... Full description
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Streaming problems are algorithmic problems that are mainly characterized by their massive input streams. Because of these data streams, the algorithms for these problems are forced to be space-efficient, as the input stream length generally exceeds the available storage. The goal of this study is to analyze the impact of additional information (more specifically, a hypothesis of the solution) on the algorithmic space complexities of several streaming problems. To this end, different streaming problems are analyzed and compared. The two problems "most frequent item" and "number of distinct items", with many configurations of different result accuracies and probabilities, are deeply studied. Both lower and upper bounds for the space and time complexity for deterministic and probabilistic environments are analyzed with respect to possible improvements due to additional information. The general solution search problem is compared to the decision problem where a solution hypothesis has to be satisfied.

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About the book

Full name Using Additional Information in Streaming Algorithms
Author Raffael Buff
Language English
Binding Book - Paperback
Date of issue 2016
Number of pages 132
EAN 9783960670940
ISBN 396067094X
Libristo code 15498640
Weight 168
Dimensions 148 x 210 x 7
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