{"product_id":"9783032148841","title":"Interdisciplinary Applied Mathematics: From Exact to Approximate Models","description":"\u003ch1\u003eInterdisciplinary Applied Mathematics: From Exact to Approximate Models\u003c\/h1\u003e \u003ch2\u003eKiss, István Z.; Miller, Joel C.; Rempała, Grzegorz A.; Simon, Péter L.\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003eThis 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 book’s content lies at the interface of epidemiology, graph theory, stochastic processes and dynamical systems. This second edition has been substantially expanded from 11 to 15 chapters, adding comprehensive coverage of stochastic models, statistical inference, simple and complex contagions, and higher-order network structures. New material reflects recent theoretical advances, while maintaining the unified mathematical framework that made the first edition so valuable. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul style=\"margin-top: 0cm;\" type=\"disc\"\u003e\n\u003cli class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003eSummarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003ePresenting different mathematical approaches, including stochastic models, to formulate exact and solvable models;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003eIdentifying the concrete links between approximate models and their rigorous mathematical representation;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003ePresenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003eIntroducing likelihood-based inference frameworks and Bayesian tools for parameter estimation from real epidemic data;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003eExtending classical network epidemic models to higher-order structures and complex contagion processes;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003eProviding 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;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003eProviding software that can solve differential equation models or directly simulate epidemics on networks.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-GB\" style=\"mso-ansi-language: EN-GB;\"\u003eReplete 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.\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-07-06\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783032148841\u003c\/p\u003e \u003cp\u003eDOI: \u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 642\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44806386712716,"sku":"9783032148841","price":89.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032148841.jpg?v=1779936086","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783032148841","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}