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005 - DATE AND TIME OF LATEST TRANSACTION |
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20140310153031.0 |
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781461472186 |
|
978-1-4614-7218-6 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QC174.7-175.36 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
621 |
Edition number |
23 |
264 #1 - |
-- |
New York, NY : |
-- |
Springer New York : |
-- |
Imprint: Springer, |
-- |
2013. |
912 ## - |
-- |
ZDB-2-PHA |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Abarbanel, Henry. |
Relator term |
author. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Predicting the Future |
Medium |
[electronic resource] : |
Remainder of title |
Completing Models of Observed Complex Systems / |
Statement of responsibility, etc |
by Henry Abarbanel. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XVI, 238 p. 97 illus., 91 illus. in color. |
Other physical details |
online resource. |
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Understanding Complex Systems, |
International Standard Serial Number |
1860-0832 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
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. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Physics. |
|
Topical term or geographic name as entry element |
Neurosciences. |
|
Topical term or geographic name as entry element |
Computer simulation. |
|
Topical term or geographic name as entry element |
Physics. |
|
Topical term or geographic name as entry element |
Statistical Physics, Dynamical Systems and Complexity. |
|
Topical term or geographic name as entry element |
Complex Systems. |
|
Topical term or geographic name as entry element |
Numerical and Computational Physics. |
|
Topical term or geographic name as entry element |
Simulation and Modeling. |
|
Topical term or geographic name as entry element |
Neurosciences. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9781461472179 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-1-4614-7218-6 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |