Predicting the future: completing models of observed complex systems
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY
Springer
2013
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| Series: | Understanding complex systems
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| Subjects: | |
| Online Access: | TUM01 UBT01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9781461472179 9781461472186 |
| DOI: | 10.1007/978-1-4614-7218-6 |
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Record in the Search Index
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| adam_text | PREDICTING THE FUTURE
/ ABARBANEL, HENRY
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
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
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
PREDICTING THE FUTURE
/ ABARBANEL, HENRY
: 2013
ABSTRACT / INHALTSTEXT
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
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| spelling | Abarbanel, H. D. I. 1943- Verfasser (DE-588)171943899 aut Predicting the future completing models of observed complex systems Henry D. I. Abarbanel New York, NY Springer 2013 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Understanding complex systems Physics Neurosciences Computer simulation Statistical Physics, Dynamical Systems and Complexity Complex Systems Numerical and Computational Physics Simulation and Modeling System analysis / Mathematical models Mathematisches Modell https://doi.org/10.1007/978-1-4614-7218-6 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026099640&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026099640&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Abarbanel, H. D. I. 1943- Predicting the future completing models of observed complex systems Physics Neurosciences Computer simulation Statistical Physics, Dynamical Systems and Complexity Complex Systems Numerical and Computational Physics Simulation and Modeling System analysis / Mathematical models Mathematisches Modell |
| title | Predicting the future completing models of observed complex systems |
| title_auth | Predicting the future completing models of observed complex systems |
| title_exact_search | Predicting the future completing models of observed complex systems |
| title_full | Predicting the future completing models of observed complex systems Henry D. I. Abarbanel |
| title_fullStr | Predicting the future completing models of observed complex systems Henry D. I. Abarbanel |
| title_full_unstemmed | Predicting the future completing models of observed complex systems Henry D. I. Abarbanel |
| title_short | Predicting the future |
| title_sort | predicting the future completing models of observed complex systems |
| title_sub | completing models of observed complex systems |
| topic | Physics Neurosciences Computer simulation Statistical Physics, Dynamical Systems and Complexity Complex Systems Numerical and Computational Physics Simulation and Modeling System analysis / Mathematical models Mathematisches Modell |
| topic_facet | Physics Neurosciences Computer simulation Statistical Physics, Dynamical Systems and Complexity Complex Systems Numerical and Computational Physics Simulation and Modeling System analysis / Mathematical models Mathematisches Modell |
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