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Complex and Adaptive Dynamical Systems: A Comprehensive Introduction Hardback - 2024
by Gros, Claudius
- New
- Hardback
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A$28.96
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Details
- Title Complex and Adaptive Dynamical Systems: A Comprehensive Introduction
- Author Gros, Claudius
- Binding Hardback
- Condition New
- Pages 461
- Volumes 1
- Language ENG
- Publisher Springer Nature
- Publication date 2024
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # x-3031550757
- ISBN 9783031550751 / 3031550757
- Weight 1.86 lbs (0.84 kg)
- Dimensions 9.21 x 6.14 x 1.06 in (23.39 x 15.60 x 2.69 cm)
- Category Science
- Quantity available 2
About Revaluation Books Devon, United Kingdom
Biblio member since 2020
General bookseller of both fiction and non-fiction.
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From the publisher
From the rear cover
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.
