A First Course in Network Theory, Estrada, Ernesto; Knight, Philip A.

Автор: Zwiebach, Barton
Название: First course in string theory
ISBN: 0521880327 ISBN-13(EAN): 9780521880329
Издательство: Cambridge Academ
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Цена: 9979.00 р.
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Описание: Zwiebach is once again faithful to his goal of making string theory accessible to undergraduates. This text now includes AdS/CFT correspondence, as well introducing superstrings. With almost 300 problems and exercises it is perfectly suited for introductory courses for students with a background in physics.

Автор: Dokuchaev Nikolai
Название: Probability Theory: A Complete One-Semester Course
ISBN: 9814678023 ISBN-13(EAN): 9789814678025
Издательство: World Scientific Publishing
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Цена: 6336.00 р.
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Описание: This book provides a systematic, self-sufficient and yet short presentation of the mainstream topics on introductory Probability Theory with some selected topics from Mathematical Statistics.

Автор: Sungwook Kim
Название: Game Theory Applications In Network Design
ISBN: 1466660503 ISBN-13(EAN): 9781466660502
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: The use of game theoretic techniques is playing an increasingly important role in the network design domain. Understanding the background, concepts, and principles in using game theory approaches is necessary for engineers in network design.Game Theory Applications in Network Design provides the basic idea of game theory and the fundamental understanding of game theoretic interactions among network entities. The material in this book also covers recent advances and open issues, offering game theoretic solutions for specific network design issues. This publication will benefit students, educators, research strategists, scientists, researchers, and engineers in the field of network design.

Автор: Novak
Название: Hybrid Graph Theory and Network Analysis
ISBN: 0521461170 ISBN-13(EAN): 9780521461177
Издательство: Cambridge Academ
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Цена: 17424.00 р.
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Описание: This book combines traditional graph theory with the matroid view of graphs in order to throw light on the mathematical approach to network analysis. The authors include many new results as well as synthesising and reworking much research done over the last 30 years.

Название: Course in Mathematical Statistics and Large Sample Theory
ISBN: 1493940309 ISBN-13(EAN): 9781493940301
Издательство: Springer
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Цена: 9362.00 р.
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Описание: This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability.