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Foundations of complex systems : nonlinear dynamics statistical physics, information and prediction / Gregoire Nicolis, Catherine Nicolis.

By: Contributor(s): Material type: TextTextPublication details: Hackensack, N.J. : World Scientific, ©2007.Description: 1 online resource (xiv, 328 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789812775658
  • 981277565X
  • 1281928305
  • 9781281928306
  • 9786611928308
  • 6611928308
Subject(s): Genre/Form: Additional physical formats: Print version:: Foundations of complex systems.DDC classification:
  • 003.75 22
LOC classification:
  • QA267.7 .N53 2007eb
Online resources:
Contents:
1. The phenomenology of complex systems -- 2. Deterministic view -- 3. The probabilistic dimension of complex systems -- 4. Information, entropy and selection -- 5. Communicating with a complex system: monitoring, analysis and prediction -- 6. Selected topics.
Summary: A geometric process is a simple monotone process that was first introduced by the author in 1988. It is a generalization of renewal process. This book captures the extensive research work on geometric processes that has been done since then in both probability and statistics theory and various applications. Some results are published for the first time. A reference book for researchers and a handbook for practioners, it is also a useful textbook for postgraduate or senior undergraduate students.
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Includes bibliographical references (pages 291-320) and index.

1. The phenomenology of complex systems -- 2. Deterministic view -- 3. The probabilistic dimension of complex systems -- 4. Information, entropy and selection -- 5. Communicating with a complex system: monitoring, analysis and prediction -- 6. Selected topics.

Print version record.

A geometric process is a simple monotone process that was first introduced by the author in 1988. It is a generalization of renewal process. This book captures the extensive research work on geometric processes that has been done since then in both probability and statistics theory and various applications. Some results are published for the first time. A reference book for researchers and a handbook for practioners, it is also a useful textbook for postgraduate or senior undergraduate students.

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