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Introduction to the modeling and analysis of complex systems

Author: Hiroki Sayama; Open SUNY Textbooks,
Publisher: Geneseo, NY : Published by Open SUNY Textbooks, Milne Library, State University of New York at Geneseo, [2015]
Edition/Format:   eBook : Document : State or province government publication : EnglishView all editions and formats
Database:WorldCat
Summary:
"Introduction to the Modeling and Analysis of Complex Systems introduces students to mathematical/computational modeling and analysis developed in the emerging interdisciplinary field of Complex Systems Science. Complex systems are systems made of a large number of microscopic components interacting with each other in nontrivial ways. Many real-world systems can be understood as complex systems, where critically  Read more...
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Details

Genre/Form: EBooks (www)
Electronic books
Textbooks
Material Type: Document, Government publication, State or province government publication, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Hiroki Sayama; Open SUNY Textbooks,
ISBN: 9781942341062 1942341067 9781942341086 1942341083 9781942341093 1942341091
OCLC Number: 918567125
Description: 1 online resource (xviii, 478 pages) : illustrations (some color) ; digital files (PDF or EPUB)
Contents: Fundamentals of modeling --
Basics of dynamical systems --
Discrete-time models 1, modeling ; Discrete-time models 2, analysis --
Continuous-time models 1, modeling --
Continuous-time models 2, analysis --
Bifurcations --
Chaos --
Interactive simulation of complex systems --
Cellular automata 1, modeling --
Cellular automata 2, analysis --
Continuous field models 1, modeling --
Continuous field models 2, analysis --
Basics of networks --
Dynamical networks 1, modeling --
Dynamical networks 2, analysis of network topologies --
Dynamical networks 3, analysis of network dynamics --
Agent-based models.
Responsibility: Hiroki Sayama.
More information:

Abstract:

"Introduction to the Modeling and Analysis of Complex Systems introduces students to mathematical/computational modeling and analysis developed in the emerging interdisciplinary field of Complex Systems Science. Complex systems are systems made of a large number of microscopic components interacting with each other in nontrivial ways. Many real-world systems can be understood as complex systems, where critically important information resides in the relationships between the parts and not necessarily within the parts themselves. This textbook offers an accessible yet technically-oriented introduction to the modeling and analysis of complex systems. The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models. Most of these topics are discussed in two chapters, one focusing on computational modeling and the other on mathematical analysis. This unique approach provides a comprehensive view of related concepts and techniques, and allows readers and instructors to flexibly choose relevant materials based on their objectives and needs. Python sample codes are provided for each modeling example"--Provided by publisher.

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