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Modeling Natural Phenomena via Cellular Nonlinear Networks

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Title: Modeling Natural Phenomena via Cellular Nonlinear Networks
Description: This book presents a study of neuroscience models and natural phenomena, such as tsunami waves and tornados. The first part discusses various mathematical models of tsunamis, including the Korteweg–de Vries equation, shallow water equations and the Camassa–Holm equation (CH). In order to study the dynamics of these models, the text uses the Cellular Nonlinear Networks (CNN) approach to discretize the governing equation using a suitable mathematical grid. The second part discusses some of the models arising in the field of neuroscience. It examines the Fitzhugh-Nagumo systems, which are very important for understanding the qualitative nature of nerve impulse propagation.The volume will be of interest to a wide-ranging audience, including PhD students, mathematicians, physicists, engineers and specialists in the domain of nonlinear waves and their applications.
Authors: Angela Slavova, Author, Pietro Zecca, Author
Resource Type: eBook.
Subjects: Nature--Mathematical models, Nonlinear theories
Categories: MATHEMATICS / Differential Equations / General, MATHEMATICS / Applied, MATHEMATICS / Numerical Analysis
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1692291
RelevancyScore: 1084
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1083.55249023438
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  Data: Modeling Natural Phenomena via Cellular Nonlinear Networks
– Name: Abstract
  Label: Description
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  Data: This book presents a study of neuroscience models and natural phenomena, such as tsunami waves and tornados. The first part discusses various mathematical models of tsunamis, including the Korteweg–de Vries equation, shallow water equations and the Camassa–Holm equation (CH). In order to study the dynamics of these models, the text uses the Cellular Nonlinear Networks (CNN) approach to discretize the governing equation using a suitable mathematical grid. The second part discusses some of the models arising in the field of neuroscience. It examines the Fitzhugh-Nagumo systems, which are very important for understanding the qualitative nature of nerve impulse propagation.The volume will be of interest to a wide-ranging audience, including PhD students, mathematicians, physicists, engineers and specialists in the domain of nonlinear waves and their applications.
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 530.15
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Nature--Mathematical models
        Type: general
      – SubjectFull: Nonlinear theories
        Type: general
    Titles:
      – TitleFull: Modeling Natural Phenomena via Cellular Nonlinear Networks
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Angela Slavova, Author
      – PersonEntity:
          Name:
            NameFull: Pietro Zecca, Author
      – PersonEntity:
          Name:
            NameFull: Angela Slavova, Author
      – PersonEntity:
          Name:
            NameFull: Pietro Zecca, Author
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      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2018
            – D: 16
              M: 07
              Type: profile
              Y: 2019
          Identifiers:
            – Type: isbn-print
              Value: 9781527503656
            – Type: isbn-electronic
              Value: 9781527507357
          Titles:
            – TitleFull: Modeling Natural Phenomena via Cellular Nonlinear Networks
              Type: main
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