Foundations of complex systems : nonlinear dynamics statistical physics, information and prediction /

Foundations of complex systems : nonlinear dynamics statistical physics, information and prediction /

Saved in:

Bibliographic Details
Author / Creator:	Nicolis, G., 1939-
Imprint:	Hackensack, N.J. : World Scientific, ©2007.
Description:	1 online resource (xiv, 328 pages) : illustrations (some color)
Language:	English
Subject:	Nonlinear systems. System analysis. Computational complexity. Nonlinear theories. Computational complexity. Nonlinear systems. Nonlinear theories. System analysis. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11218198

Hidden Bibliographic Details
Other authors / contributors:	Nicolis, Cathy.
ISBN:	9789812775658 981277565X 1281928305 9781281928306 9789812700438 9812700439 9786611928308 6611928308
Notes:	Includes bibliographical references (pages 291-320) and index. Print version record.
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.
Other form:	Print version: Nicolis, G., 1939- Foundations of complex systems. Hackensack, N.J. : World Scientific, ©2007 9789812700438 9812700439

Description
Summary:	Complexity is emerging as a post-Newtonian paradigm for approaching a large body of phenomena of concern at the crossroads of physical, engineering, environmental, life and human sciences from a unifying point of view. This book outlines the foundations of modern complexity research as it arose from the cross-fertilization of ideas and tools from nonlinear science, statistical physics and numerical simulation. It is shown how these developments lead to an understanding, both qualitative and quantitative, of the complex systems encountered in nature and in everyday experience and, conversely, how natural complexity acts as a source of inspiration for progress at the fundamental level.
Physical Description:	1 online resource (xiv, 328 pages) : illustrations (some color)
Bibliography:	Includes bibliographical references (pages 291-320) and index.
ISBN:	9789812775658 981277565X 1281928305 9781281928306 9789812700438 9812700439 9786611928308 6611928308