Mathematics of epidemics on networks : from exact to approximate models (Record no. 29752)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191120b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319508047
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 511.8
Item number KIS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kiss, Istvan Z.
245 ## - TITLE STATEMENT
Title Mathematics of epidemics on networks : from exact to approximate models
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cham
Name of publisher, distributor, etc Springer
Date of publication, distribution, etc 2017
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 413 p.
Other physical details ill.
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount 74.99
Price type code EUR
Unit of pricing 82.00
490 ## - SERIES STATEMENT
Series statement Interdisciplinary applied mathematics
Volume number/sequential designation v. 46
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical Models
Topical term or geographic name as entry element Mathematical Statistics
Topical term or geographic name as entry element Probabilities
Topical term or geographic name as entry element Mathematical and Computational Biology
Topical term or geographic name as entry element Probability Theory and Stochastic Processes
Topical term or geographic name as entry element Applications of Graph Theory and Complex Networks
Topical term or geographic name as entry element Differentiable Dynamical Systems
Topical term or geographic name as entry element Dynamical Systems and Ergodic Theory
Topical term or geographic name as entry element Epidemiology and medical statistics
Topical term or geographic name as entry element Biomathematics
Topical term or geographic name as entry element Nonlinear Science
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Miller, Joel C.
Corporate name or jurisdiction name as entry element Simon, Peter L.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Total Checkouts Full call number Barcode Date last seen Date last borrowed Koha item type
          DAIICT DAIICT 2019-11-14 1 511.8 KIS 032154 2024-01-18 2024-01-10 Books

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