Predicting the Future: Completing Models of Observed Complex Systems
Author:   Henry Abarbanel
Publisher:   Springer-Verlag New York Inc.
Edition:   2013 ed.
ISBN:  

9781461472179


Pages:   238
Publication Date:   11 June 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Predicting the Future: Completing Models of Observed Complex Systems


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Overview

Through the development of an exact path integral for use in transferring information from observations to a model of the observed system, the author provides a general framework for the discussion of model building and evaluation across disciplines. Through many illustrative examples drawn from models in neuroscience, 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 explored.

Full Product Details

Author:   Henry Abarbanel
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2013 ed.
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   5.089kg
ISBN:  

9781461472179


ISBN 10:   1461472172
Pages:   238
Publication Date:   11 June 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- 1 An Overview; The Challenge of Complex Systems.- 2 Examples as a Guide to the Issues.- 3 General Formulation of Statistical Data Assimilation.- 4 Evaluating the Path Integral.- 5 Twin Experiments.- 6 Analysis of Experimental Data.

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Author Information

Henry Abarbanel is a new member of the Springer Complexity Board. He is a Professor of Physics at UCSD in La Jolla, CA. http://neurograd.ucsd.edu/faculty/detail.php?id=19

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