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 Algorithms for Streaming Graphs. Approaching Graph Problems with Limited Memory and without Random Access
Наименование:

Algorithms for Streaming Graphs. Approaching Graph Problems with Limited Memory and without Random Access

автор Mariano Z. издательство Книга по Требованию Математический анализ. Кратные и криволинейные интегралы. Задачи, решения
Cтраниц 72        мягкая обложка       
Аннотация: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. 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. 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. In this book we develop algorithms in the semi-streaming model approaching different graph problems. Here, random access is very time-consuming. 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. 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. For the intractable problem of finding a maximum weighted matching, we present the best known approximation algorithm.
Автор: Mariano Z.
Издательство: Книга по Требованию
Год:2009
Цена:
2361 руб
Нет в наличии
Поиск: Algorithms for Streaming Graphs. Approaching Graph Problems with Limited Memory and without Random Access
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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