Predicting the Future

Completing Models of Observed Complex Systems

Henry Abarbanel (Autor)

Buch | Softcover

238 Seiten

2016 | Softcover reprint of the original 1st ed. 2013
Springer-Verlag New York Inc.
978-1-4939-5238-0 (ISBN)

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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.

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=1

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.

Erscheinungsdatum	04.10.2016
Reihe/Serie	Understanding Complex Systems
Zusatzinfo	91 Illustrations, color; 6 Illustrations, black and white; XVI, 238 p. 97 illus., 91 illus. in color.
Verlagsort	New York
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Naturwissenschaften ► Biologie ► Zoologie
	Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
	Naturwissenschaften ► Physik / Astronomie ► Thermodynamik
Schlagworte	Data assimilation challenges • Dynamical state and parameter estimation • Evaluation of path integrals • Model completion and consistency • Nonlinear Chaotic Electrical Circuit • Nonlinear Circuits
ISBN-10	1-4939-5238-2 / 1493952382
ISBN-13	978-1-4939-5238-0 / 9781493952380
Zustand	Neuware