Algorithms for Streaming Graphs

Name: Algorithms for Streaming Graphs
Brand: Sudwestdeutscher Verlag Fur Hochschulschriften AG
SKU: 9783838108063
Price: 46.66 EUR
Availability: InStock

Approaching Graph Problems with Limited Memory and without Random Access

Autor: Mariano Zelke

Jazyk:

Väzba: Brožovaná

Vydavateľ: Sudwestdeutscher Verlag Fur Hochschulschriften AG

Dostupnosť: Skladom u dodávateľa

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46.66 €

An algorithm solving a graph problem is usually expected to have fast random access to the input gra...

Informácie o knihe

Autor

Mariano Zelke

Jazyk

Nemčina

Väzba

Kniha - Brožovaná

Vydalo

2009

Stránok

EAN

9783838108063

ISBN

383810806X

Enbook ID

07165368

Vydavateľ

Sudwestdeutscher Verlag Fur Hochschulschriften AG

Hmotnosť

109

Rozmery

152 x 229 x 5

Kompletný popis

An algorithm solving a graph problem is usually expected to have fast random access to the input graph G and a working memory being able to store G completely. These powerful assumptions are put in question by massive graphs that exceed common working memories and that can only be stored on disks or even tapes. Here, random access is very time-consuming. To tackle massive graphs stored on external memories, the semi-streaming model has been proposed. It permits a working memory of restricted size and forbids random access to G. In contrast, the input is assumed to be a stream of edges in arbitrary order. In this book we develop algorithms in the semi-streaming model approaching different graph problems. For the problems of testing graph connectivity and bipartiteness and for the computation of a minimum spanning tree, we show how to obtain optimal running times. For the intractable problem of finding a maximum weighted matching, we present the best known approximation algorithm. Finally, we show the minimum and the maximum cut problem in a graph both to be intractable in the semi-streaming model and give algorithms that approximate respective solutions in a randomized fashion.

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Algorithms for Streaming Graphs

Approaching Graph Problems with Limited Memory and without Random Access

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