CITESTE MAI MULT
Detalii
Descriere RO
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.
EdituraSpringer International Publishing AG
Dimensiuni162 x 241 x 29
Data Publicarii22/05/2017
Format
Cartonata
Numar pagini413
Aceasta este o carte in limba engleza. Descrierea cartii (tradusa din engleza cu Google Translate) este in limba romana din motive legale.
Acest manual ofera o noua completare interesanta in domeniul stiintei retelelor, oferind o legatura mai puternica si mai metodica a modelelor cu originea lor matematica si explica modul in care acestea se raporteaza intre ele, cu accent special pe raspandirea epidemiei pe retele. Continutul cartii se afla la interfata teoriei graficelor, a proceselor stochastice si a sistemelor dinamice.