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Applications of dynamical systems in biology and medicine

By: Jackson, Trachette (ed.).
Contributor(s): Jackson, Trachette (ed.) | Radunskaya, Ami (ed).
Material type: materialTypeLabelBookSeries: IMA volumes in mathematics and its applications: v. 158.Publisher: New York : Springer, ©2015Description: xi, 233 p. : ill, ; 25 cm.ISBN: 9781493927814.Subject(s): Medicine -- Mathematical models | Biomathematics | Molecular dynamics | Physiological Phenomena | Models, Theoretical | Biomathematics | Medicine -- Mathematical models | Molecular dynamicsGenre/Form: Congresses.Online resources: Publisher description | Table of contents only Summary: This volume highlights problems from a range of biological and medical applications that can be interpreted as questions about system behavior or control. Topics include drug resistance in cancer and malaria, biological fluid dynamics, auto-regulation in the kidney, anti-coagulation therapy, evolutionary diversification and photo-transduction. Mathematical techniques used to describe and investigate these biological and medical problems include ordinary, partial and stochastic differentiation equations, hybrid discrete-continuous approaches, as well as 2 and 3D numerical simulation.--
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Biology REF 515.4 JAC-A (Browse shelf) Available 007369
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"WhAM! Workshop. The aim of this volume is to showcase original research conducted by newly formed collaborative teams during the IMA's Women in Applied Mathematics (WhAM!) Research Collaboration Conference on Dynamical Systems with Applications to Biology and Medicine"--Page vii.

Includes bibliographical references.

This volume highlights problems from a range of biological and medical applications that can be interpreted as questions about system behavior or control. Topics include drug resistance in cancer and malaria, biological fluid dynamics, auto-regulation in the kidney, anti-coagulation therapy, evolutionary diversification and photo-transduction. Mathematical techniques used to describe and investigate these biological and medical problems include ordinary, partial and stochastic differentiation equations, hybrid discrete-continuous approaches, as well as 2 and 3D numerical simulation.--

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