Complex and Adaptive Dynamical Systems

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Level
Advanced
Educational Level
Adult & Further Education
ISBN
9783031550751
Category

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3031550757
ISBN-13
9783031550751
eBay Product ID (ePID)
8065116315

Product Key Features

Edition
5
Book Title
Complex and Adaptive Dynamical Systems : a Comprehensive Introduction
Number of Pages
Xv, 461 Pages
Language
English
Publication Year
2024
Topic
Engineering (General), System Theory, Discrete Mathematics
Illustrator
Yes
Genre
Mathematics, Technology & Engineering, Science
Author
Claudius Gros
Format
Hardcover

Dimensions

Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Number of Volumes
1 vol.
Dewey Decimal
003.85
Table Of Content
Network Theory.- Bifurcations and Chaos in Dynamical Systems.- Dissipation, Noise and Adaptive Systems.- Self Organization.- Information Theory of Complex Systems.- Self-Organized Criticality.- Random Boolean Networks.- Darwinian Evolution, Hypercycles and Game Theory.- Synchronization Phenomena.- Complexity of Machine Learning.- Solutions.
Synopsis
This textbook offers a comprehensive introduction to the concepts underpinning our modern understanding of complex and emergent behavior. Mathematical methods necessary for the discussion are introduced and explained on the run. All derivations are presented step-by-step. This new fifth edition has been fully revised and includes a new chapter, a range of new sections, figures and exercises. The Solution chapter has been reorganized for clarity. The core aspects of modern complex system sciences are presented in the first chapters, covering the foundations of network- and dynamical system theory, with a particular focus on scale-free networks and tipping phenomena. The notion of deterministic chaos is treated together with bifurcation theory and the intricacies of time delays. Modern information theoretical principles are discussed in further chapters, together with the notion of self-organized criticality, synchronization phenomena, and a game-theoretical treatment of the tragedy of the commons. The dynamical systems view of modern machine learning is presented in a new chapter. Chapters include exercises and suggestions for further reading. The textbook is suitable for graduate and advanced undergraduate students. The prerequisites are the basic mathematical tools of courses in natural sciences, computer science or engineering.
LC Classification Number
Q295

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Late Knight Books

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