Overview
- Interdisciplinary valuable reference for engineers, system scientists, mathematicians, entrepreneurs and investors facing complexity challenge
- Presents theoretical and practical aspects of the Polystochastic methodology incl case studies
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (7 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Polystochastic Models for Complexity
Authors: Octavian Iordache
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-642-10654-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-10653-8Published: 19 April 2010
Softcover ISBN: 978-3-642-26313-2Published: 28 May 2012
eBook ISBN: 978-3-642-10654-5Published: 20 March 2010
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XX, 298
Number of Illustrations: 94 b/w illustrations
Topics: Complexity, Complex Systems, Artificial Intelligence, Dynamical Systems and Ergodic Theory, Statistical Physics and Dynamical Systems