Predicting the future completing models of observed complex systems Henry D.I. Abarbanel

Format:

Book

Author/Creator:

Abarbanel, H. D. I.

Series:

Understanding complex systems

Springer complexity

Understanding complex systems 1860-0832

Language:

English

Subjects (All):

System analysis--Mathematical models.

System analysis.

Physical Description:

1 online resource

Place of Publication:

New York, NY Springer ©2013

Language Note:

English

Summary:

Predicting the Future: Completing Models of Observed Complex Systems provides a general framework for the discussion of model building and validation across a broad spectrum of disciplines. This is accomplished through the development of an exact path integral for use in transferring information from observations to a model of the observed system. Through many illustrative examples drawn from models in neuroscience, fluid dynamics, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model's consistency with observations is investigated. Using highly instructive examples, the problems of data assimilation and the means to treat them are clearly illustrated. This book will be useful for students and practitioners of physics, neuroscience, regulatory networks, meteorology and climate science, network dynamics, fluid dynamics, and other systematic investigations of complex systems

Contents:

An Overview: The Challenge of Complex Systems Examples as a Guide to the Issues General Formulation of Statistical Data Assimilation Evaluating the Path Integral Twin Experiments Analysis of Experimental Data Unfinished Business

Notes:

Includes bibliographical references and index

Other Format:

Printed edition:

ISBN:

9781461472186

1461472180

1461472172

9781461472179

OCLC:

849903512

Access Restriction:

Restricted for use by site license