Modeling natural phenomena via cellular nonlinear networks / by Angela Slavova and Pietro Zecca.

Format:

Book

Author/Creator:

Slavova, Angela, author.

Zecca, P. (Pietro), author.

Language:

English

Subjects (All):

Nonlinear theories--Data processing.

Nonlinear theories.

Physical Description:

1 online resource (204 pages)

Edition:

1st ed.

Place of Publication:

Newcastle upon Tyne, England : Cambridge Scholars Publishing, 2018.

Summary:

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.

Contents:

Intro

Contents

Preface

Part I. Modelling Environmental Problems via the Cellular Nonlinear Networks Approach

Chapter One

Chapter Two

Chapter Three

Chapter Four

Chapter Five

Chapter Six

Chapter Seven

Chapter Eight

Chapter Nine

Chapter Ten

Part II. Studying Neuroscience Models via the CNN Approach

References.

Notes:

Includes bibliographical references.

Description based on online resource; title from PDF title page (EBC, viewed February 15, 2018).

ISBN:

1-5275-0735-1

OCLC:

1020638416