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Predicting the Future: Completing Models of Observed Complex Systems Softcover reprint of the original 1st ed. 2013 [Mīkstie vāki]

  • Formāts: Paperback / softback, 238 pages, height x width: 235x155 mm, weight: 3927 g, 91 Illustrations, color; 6 Illustrations, black and white; XVI, 238 p. 97 illus., 91 illus. in color., 1 Paperback / softback
  • Sērija : Understanding Complex Systems
  • Izdošanas datums: 23-Aug-2016
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1493952382
  • ISBN-13: 9781493952380
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  • Mīkstie vāki
  • Cena: 91,53 €*
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Predicting the Future: Completing Models of Observed Complex Systems Softcover reprint of the original 1st ed. 2013Palielināt
  • Formāts: Paperback / softback, 238 pages, height x width: 235x155 mm, weight: 3927 g, 91 Illustrations, color; 6 Illustrations, black and white; XVI, 238 p. 97 illus., 91 illus. in color., 1 Paperback / softback
  • Sērija : Understanding Complex Systems
  • Izdošanas datums: 23-Aug-2016
  • Izdevniecība: Springer-Verlag New York Inc.
  • ISBN-10: 1493952382
  • ISBN-13: 9781493952380
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781493952380.html
Keywords:
This book discusses model building and evaluation across disciplines, by means of an exact path integral for transferring information from observations to a model of the observed system. Offers examples in geosciences, nonlinear electrical circuits and more.

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.
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.