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

This textbook offers a thrilling new addition to the realm of community technological know-how that includes a higher and extra methodical hyperlink of versions to their mathematical starting place and explains how those relate to one another with detailed concentrate on epidemic unfold on networks. The content material of the ebook is on the interface of graph idea, stochastic approaches and dynamical platforms. The authors got down to make an important contribution to final the distance among version improvement and the helping arithmetic. this is often performed by:
  • Summarising and providing the state of the art in modeling epidemics on networks with effects and simply usable versions signposted in the course of the book;
  • Presenting various mathematical ways to formulate special and solvable models;
  • Identifying the concrete hyperlinks among approximate versions and their rigorous mathematical representation;
  • Presenting a version hierarchy and obviously highlighting the hyperlinks among version assumptions and version complexity;
  • Providing a reference resource for complex undergraduate scholars, in addition to doctoral scholars, postdoctoral researchers and educational specialists who're engaged in modeling stochastic approaches on networks;
  • Providing software program which may resolve differential equation types or without delay simulate epidemics on networks.
Replete with a variety of diagrams, examples, instructive workouts, and on-line entry to simulation algorithms and with ease usable code, this ebook will entice a large spectrum of readers from diverse backgrounds and educational degrees. acceptable for college students without or with a powerful heritage in arithmetic, this textbook can shape the root of a complicated undergraduate or graduate direction in either arithmetic and different departments alike. 

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Mathematics of Epidemics on Networks: From Exact to Approximate Models (Interdisciplinary Applied Mathematics) by István Z. Kiss,Joel C. Miller,Péter L. Simon


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