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Spaces of measures and their applications to structured population models / Christian Düll, Piotr Gwiazda, Anna Marciniak-Czochra, Jakub Skrzeczkowski.

Cambridge eBooks: Frontlist 2021 Available online

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Format:
Book
Author/Creator:
Düll, Christian, author.
Gwiazda, Piotr, author.
Marciniak-Czochra, Anna, author.
Skrzeczkowski, Jakub, author.
Series:
Cambridge monographs on applied and computational mathematics ; 36.
Cambridge monographs on applied and computational mathematics ; 36
Language:
English
Subjects (All):
Population--Mathematical models.
Population.
Functions of bounded variation.
Lipschitz spaces.
Metric spaces.
Radon measures.
Biology--Mathematical models.
Biology.
Physical Description:
1 online resource (xi, 308 pages) : digital, PDF file(s).
Place of Publication:
Cambridge : Cambridge University Press, 2022.
Summary:
Structured population models are transport-type equations often applied to describe evolution of heterogeneous populations of biological cells, animals or humans, including phenomena such as crowd dynamics or pedestrian flows. This book introduces the mathematical underpinnings of these applications, providing a comprehensive analytical framework for structured population models in spaces of Radon measures. The unified approach allows for the study of transport processes on structures that are not vector spaces (such as traffic flow on graphs) and enables the analysis of the numerical algorithms used in applications. Presenting a coherent account of over a decade of research in the area, the text includes appendices outlining the necessary background material and discusses current trends in the theory, enabling graduate students to jump quickly into research.
Contents:
Analytical setting
Structured population models on state space R
Structured population models on proper spaces
Numerical methods for structured population models
Recent developments and future perspectives.
Notes:
Title from publisher's bibliographic system (viewed on 27 Sep 2021).
ISBN:
1-009-02047-1
1-009-00477-8
OCLC:
1273973437

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