Mathematics of Epidemics on Networks: From Exact to Approximate Models: 46 (Interdisciplinary Applied Mathematics, 46) - Tapa dura

Libro 45 de 52: Interdisciplinary Applied Mathematics

Kiss, István Z.; Miller, Joel C.; Simon, Péter L.

 
9783319508047: Mathematics of Epidemics on Networks: From Exact to Approximate Models: 46 (Interdisciplinary Applied Mathematics, 46)
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ISBN 10: 3319508040 ISBN 13: 9783319508047
Editorial: Springer International Publishing AG, 2017

Sinopsis

This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks. The content of the book is at the interface of graph theory, stochastic processes and dynamical systems. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by:

  • Summarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book;
  • Presenting different mathematical approaches to formulate exact and solvable models;
  • Identifying the concrete links between approximate models and their rigorous mathematical representation;
  • Presenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity;
  • Providing a reference source for advanced undergraduate students, as well as doctoral students, postdoctoral researchers and academic experts who are engaged in modeling stochastic processes on networks;
  • Providing software that can solve differential equation models or directly simulate epidemics on networks.
Replete with numerous diagrams, examples, instructive exercises, and online access to simulation algorithms and readily usable code, this book will appeal to a wide spectrum of readers from different backgrounds and academic levels. Appropriate for students with or without a strong background in mathematics, this textbook can form the basis of an advanced undergraduate or graduate course in both mathematics and other departments alike. 

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Acerca del autor

Dr. I.Z. Kiss: Dr. Kiss is a Reader in the Department of Mathematics at the University of Sussex with his research at the interface of network science, stochastic processes and dynamical systems. His work focuses on the modeling and analysis of stochastic epidemic processes on static and dynamic networks. His current interests include the identification of rigorous links between approximate models and their rigorous mathematical counterparts and formulating new models for more complex spreading processes or structured networks.

Dr. J.C. Miller: Dr. Miller is a Senior Research Scientist at the Institute for Disease Modeling in Seattle.  He is also a Senior Lecturer at Monash University in Melbourne with a joint appointment in Mathematics and Biology. His research interests include dynamics of infectious diseases, stochastic processes on networks, and fluid flow in porous media. The majority of his work is at the intersection of infectious disease dynamics and stochastic processes on networks. 

Prof. P.L. Simon: Prof. Simon is a Professor at the Institute of Mathematics, Eötvös Loránd University, Budapest. He is a member of the Numerical Analysis and Large Networks research group and the Head of Department of Applied Analysis and Computational Mathematics. His research interests include dynamical systems, partial differential equations and their applications in chemistry and biology. In particular, his work focuses on the modeling and analysis of network processes using differential equations.

De la contraportada

This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks. The content of the book is at the interface of graph theory, stochastic processes and dynamical systems. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by:
  • Summarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book;
  • Presenting different mathematical approaches to formulate exact and solvable models;
  • Identifying the concrete links between approximate models and their rigorous mathematical representation;
  • Presenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity;
  • Providing a reference source for advanced undergraduate students, as well as doctoral students, postdoctoral researchers and academic experts who are engaged in modeling stochastic processes on networks;
  • Providing software that can solve the differential equation models or directly simulate epidemics in networks.
Replete with numerous diagrams, examples, instructive exercises, and online access to simulation algorithms and readily usable code, this book will appeal to a wide spectrum of readers from different backgrounds and academic levels. Appropriate for students with or without a strong background in mathematics, this textbook can form the basis of an advanced undergraduate or graduate course in both mathematics and biology departments alike. 

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer International Publishing AG
Año de publicación
2017
Idioma
Inglés
ISBN 10 
3319508040
ISBN 13 
9783319508047
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
431
Contacto del fabricante
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9783319844947: Mathematics of Epidemics on Networks: From Exact to Approximate Models: 46 (Interdisciplinary Applied Mathematics)

Edición Destacada

ISBN 10:  3319844946 ISBN 13:  9783319844947
Editorial: Springer, 2018
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