Книга Using Additional Information in Streaming Algorithms Raffael Buff

Using Additional Information in Streaming Algorithms

Автор: Raffael Buff
Език: Английски език
Корици: С меки корици
Издател: Anchor Academic Publishing
Наличност: Външен склад
Изпращаме след 5-8 дни
36.73 71.83 лв
Streaming problems are algorithmic problems that are mainly characterized by their massive input str...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2016
страници
132
EAN
9783960670940
ISBN
396067094X
Enbook ID
15498640
Теглоt
168
Размери
148 x 210 x 7

Пълно описание

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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