Geometrical Dynamics of Complex Systems

Geometrical Dynamics of Complex Systems
Author :
Publisher : Taylor & Francis
Total Pages : 856
Release :
ISBN-10 : 1402045441
ISBN-13 : 9781402045448
Rating : 4/5 (448 Downloads)

Book Synopsis Geometrical Dynamics of Complex Systems by : Vladimir G. Ivancevic

Download or read book Geometrical Dynamics of Complex Systems written by Vladimir G. Ivancevic and published by Taylor & Francis. This book was released on 2006-01-18 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geometrical Dynamics of Complex Systems is a graduate-level monographic textbook. Itrepresentsacomprehensiveintroductionintorigorousgeometrical dynamicsofcomplexsystemsofvariousnatures. By'complexsystems', inthis book are meant high-dimensional nonlinear systems, which can be (but not necessarily are) adaptive. This monograph proposes a uni?ed geometrical - proachtodynamicsofcomplexsystemsofvariouskinds: engineering, physical, biophysical, psychophysical, sociophysical, econophysical, etc. As their names suggest, all these multi-input multi-output (MIMO) systems have something in common: the underlying physics. However, instead of dealing with the pop- 1 ular 'soft complexity philosophy', we rather propose a rigorous geometrical and topological approach. We believe that our rigorous approach has much greater predictive power than the soft one. We argue that science and te- nology is all about prediction and control. Observation, understanding and explanation are important in education at undergraduate level, but after that it should be all prediction and control. The main objective of this book is to show that high-dimensional nonlinear systems and processes of 'real life' can be modelled and analyzed using rigorous mathematics, which enables their complete predictability and controllability, as if they were linear systems. It is well-known that linear systems, which are completely predictable and controllable by de?nition - live only in Euclidean spaces (of various - mensions). They are as simple as possible, mathematically elegant and fully elaborated from either scienti?c or engineering side. However, in nature, no- ing is linear. In reality, everything has a certain degree of nonlinearity, which means: unpredictability, with subsequent uncontrollability.


Geometrical Dynamics of Complex Systems Related Books

Geometrical Dynamics of Complex Systems
Language: en
Pages: 856
Authors: Vladimir G. Ivancevic
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2006-01-18 - Publisher: Taylor & Francis

DOWNLOAD EBOOK

Geometrical Dynamics of Complex Systems is a graduate-level monographic textbook. Itrepresentsacomprehensiveintroductionintorigorousgeometrical dynamicsofcomple
Dynamics Of Complex Systems
Language: en
Pages: 866
Authors: Yaneer Bar-yam
Categories: Mathematics
Type: BOOK - Published: 2019-03-04 - Publisher: CRC Press

DOWNLOAD EBOOK

This book aims to develop models and modeling techniques that are useful when applied to all complex systems. It adopts both analytic tools and computer simulat
Geometrical Dynamics of Complex Systems
Language: en
Pages: 842
Authors: Vladimir G. Ivancevic
Categories: Science
Type: BOOK - Published: 2006-09-10 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Geometrical Dynamics of Complex Systems is a graduate?level monographic textbook. Itrepresentsacomprehensiveintroductionintorigorousgeometrical dynamicsofcomple
Complex Nonlinearity
Language: en
Pages: 855
Authors: Vladimir G. Ivancevic
Categories: Science
Type: BOOK - Published: 2008-05-31 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Complex Nonlinearity: Chaos, Phase Transitions, Topology Change and Path Integrals is a book about prediction & control of general nonlinear and chaotic dynamic
Dynamical Systems in Neuroscience
Language: en
Pages: 459
Authors: Eugene M. Izhikevich
Categories: Medical
Type: BOOK - Published: 2010-01-22 - Publisher: MIT Press

DOWNLOAD EBOOK

Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both ne