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Graphs, Networks and Algorithms, Dieter Jungnickel


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Автор: Dieter Jungnickel
Название:  Graphs, Networks and Algorithms
ISBN: 9783642091865
Издательство: Springer
Классификация:



ISBN-10: 3642091865
Обложка/Формат: Paperback
Страницы: 650
Вес: 0.92 кг.
Дата издания: 30.11.2010
Серия: Algorithms and Computation in Mathematics
Язык: English
Размер: 234 x 156 x 34
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This is the third edition of the classic textbook on the subject. With its clear writing, strong organization, and comprehensive coverage of essential theory it is like a personal guide through this important topic, and now has lots of extra material.


Distributed Algorithms,

Автор: Nancy A. Lynch
Название: Distributed Algorithms,
ISBN: 1558603484 ISBN-13(EAN): 9781558603486
Издательство: Elsevier Science
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Цена: 20549.00 р.
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Описание: A guide to designing, implementing and analyzing distributed algorithms. It covers problems including resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election and global snapshots.

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

Автор: Ahmed Abdelgawad; Magdy Bayoumi
Название: Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
ISBN: 1489987061 ISBN-13(EAN): 9781489987068
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book introduces resource-aware data fusion algorithms that generate inferences by combining data from multiple sources-techniques useful in centralized and distributed systems to overcome sensor failure, technological limitations, and coverage problems.

Stochastic Simulation: Algorithms and Analysis

Автор: Asmussen
Название: Stochastic Simulation: Algorithms and Analysis
ISBN: 038730679X ISBN-13(EAN): 9780387306797
Издательство: Springer
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Цена: 6981.00 р.
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Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first  half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of  examples, exercises and applications students, practitioners and researchers in  probability, statistics, operations research, economics, finance, engineering  as well as biology and chemistry and physics will find the book of value.  Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of  Engineering at Stanford University. 

Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms

Автор: Takeshi Furuhashi
Название: Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms
ISBN: 3540606076 ISBN-13(EAN): 9783540606079
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Presenting papers from the IEEE/Nagoya-University World Wisepersons Workshop, this volume covers the combination of fuzzy logic and neural networks. It looks at how to combine fuzzy logic and genetic algorithms, and includes challenging applications of fuzzy systems and of fuzzy-genetic algorithms.

Algorithms and Dynamical Models for Communities and Reputation in Social Networks

Автор: Vincent Traag
Название: Algorithms and Dynamical Models for Communities and Reputation in Social Networks
ISBN: 3319360620 ISBN-13(EAN): 9783319360621
Издательство: Springer
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Цена: 14365.00 р.
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Описание: A persistent problem when finding communities in large complex networks is the so-called resolution limit. In addition to these theoretical contributions, the thesis also contains an empirical analysis of the effect of trading communities on international conflict, and how communities form in a citation network with positive and negative links.

Graphs, Algorithms, and Optimization

Автор: Kocay William
Название: Graphs, Algorithms, and Optimization
ISBN: 1482251167 ISBN-13(EAN): 9781482251166
Издательство: Taylor&Francis
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Цена: 12554.00 р.
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Описание:

The second edition of this popular book presents the theory of graphs from an algorithmic viewpoint. The authors present the graph theory in a rigorous, but informal style and cover most of the main areas of graph theory. The ideas of surface topology are presented from an intuitive point of view. We have also included a discussion on linear programming that emphasizes problems in graph theory. The text is suitable for students in computer science or mathematics programs.

 


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