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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the concepts of identifiability and observability in mathematical epidemiology, as well as those of observers' constructions. It first exposes and illustrates on several examples the mathematical definitions and properties of observability and identifiability. A chapter is dedicated to the well-known Kermack McKendrick model, for which the complete analysis of identifiability and observability is not available in the literature. Then, several techniques of observer constructions, in view of online estimation of state and parameters, are presented and deployed on several models. New developments relevant for applications in epidemiology are also given. Finally, practical considerations are discussed with data and numerical simulations related to models previously analysed in the book.The book will be appealing to epidemiological modellers and mathematicians working on models in epidemiology.This book contributes to Sustainable Development Goal 3 (SDG3): Good Health and Well Being.
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Añadir al carritoTaschenbuch. Condición: Neu. Identifiability and Observability in Epidemiological Models | A Primer | Nik Cunniffe (u. a.) | Taschenbuch | SpringerBriefs on PDEs and Data Science | xii | Englisch | 2024 | Springer | EAN 9789819725380 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Publicado por Springer Nature Singapore Jul 2024, 2024
ISBN 10: 9819725380 ISBN 13: 9789819725380
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces the concepts of identifiability and observability in mathematical epidemiology, as well as those of observers' constructions. It first exposes and illustrates on several examples the mathematical definitions and properties of observability and identifiability. A chapter is dedicated to the well-known Kermack McKendrick model, for which the complete analysis of identifiability and observability is not available in the literature. Then, several techniques of observer constructions, in view of online estimation of state and parameters, are presented and deployed on several models. New developments relevant for applications in epidemiology are also given. Finally, practical considerations are discussed with data and numerical simulations related to models previously analysed in the book.The book will be appealing to epidemiological modellers and mathematicians working on models in epidemiology.This book contributes to Sustainable Development Goal 3 (SDG3): Good Health and Well Being. 108 pp. Englisch.
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Publicado por Springer, Berlin|Springer Nature Singapore|Springer, 2024
ISBN 10: 9819725380 ISBN 13: 9789819725380
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces the concepts of identifiability and observability in mathematical epidemiology, as well as those of observers constructions. It first exposes and illustrates on several examples the mathematical definitions and properties of observa.
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Publicado por Springer, Springer Jul 2024, 2024
ISBN 10: 9819725380 ISBN 13: 9789819725380
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the concepts of identifiability and observability in mathematical epidemiology, as well as those of observers¿ constructions. It first exposes and illustrates on several examples the mathematical definitions and properties of observability and identifiability. A chapter is dedicated to the well-known Kermack McKendrick model, for which the complete analysis of identifiability and observability is not available in the literature. Then, several techniques of observer constructions, in view of online estimation of state and parameters, are presented and deployed on several models. New developments relevant for applications in epidemiology are also given. Finally, practical considerations are discussed with data and numerical simulations related to models previously analysed in the book.The book will be appealing to epidemiological modellers and mathematicians working on models in epidemiology.This book contributes to Sustainable Development Goal 3 (SDG3): Good Health and Well Being.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 120 pp. Englisch.