The Respiratory System in Equations: MS&A, cartea 7
Autor Bertrand Mauryen Limba Engleză Paperback – 26 iun 2015
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 554.86 lei 6-8 săpt. | |
Springer – 26 iun 2015 | 554.86 lei 6-8 săpt. | |
Hardback (1) | 563.69 lei 6-8 săpt. | |
Springer – 22 ian 2013 | 563.69 lei 6-8 săpt. |
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Specificații
ISBN-13: 9788847055735
ISBN-10: 8847055733
Pagini: 300
Ilustrații: XVII, 278 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.42 kg
Ediția:2013
Editura: Springer
Colecția Springer
Seria MS&A
Locul publicării:Milano, Italy
ISBN-10: 8847055733
Pagini: 300
Ilustrații: XVII, 278 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.42 kg
Ediția:2013
Editura: Springer
Colecția Springer
Seria MS&A
Locul publicării:Milano, Italy
Public țintă
GraduateCuprins
Introduction.- Lumped models.- The lung as a resistive tree.- Computing velocity fields.- Gas exchanges.- The lung as an infinite tree.- Data.- Solutions to exercises.- Complements.- Glossary.
Recenzii
“This book models respiratory system using ordinary and partial differential equations. … this is a very good book on an extremely difficult topic.” (E. Ahmed, zbMATH 1312.92005, 2015)
“It is designed as an introduction to mathematical modeling in the particular context of the respiratory system. … this book is a most valuable reference for students and researchers in the fields of applied mathematics, bioengineering and medicine who are interested in the challenging field of modeling how the respiratory system works.” (Marcela Szopos, Mathematical Reviews, September, 2014)
“It is designed as an introduction to mathematical modeling in the particular context of the respiratory system. … this book is a most valuable reference for students and researchers in the fields of applied mathematics, bioengineering and medicine who are interested in the challenging field of modeling how the respiratory system works.” (Marcela Szopos, Mathematical Reviews, September, 2014)
Notă biografică
Bertrand Maury is Professor of Mathematics at the Université Paris-Sud, Orsay (France). He is also adjunct Professor at the Ecole Polytechnique, Docent Professor at the University of Jyväskylä (Finland), and junior member of the Institut Universitaire de France. His domains of interest extend from Computational Fluid Dynamics and Numerical Analysis, to modeling in life sciences and Optimal Transportation.
Textul de pe ultima copertă
The book proposes an introduction to the mathematical modeling of the respiratory system. A detailed introduction on the physiological aspects makes it accessible to a large audience without any prior knowledge on the lung. Different levels of description are proposed, from the lumped models with a small number of parameters (Ordinary Differential Equations), up to infinite dimensional models based on Partial Differential Equations.
Besides these two types of differential equations, two chapters are dedicated to resistive networks, and to the way they can be used to investigate the dependence of the resistance of the lung upon geometrical characteristics.
The theoretical analysis of the various models is provided, together with state-of-the-art techniques to compute approximate solutions, allowing comparisons with experimental measurements. The book contains several exercises, most of which are accessible to advanced undergraduate students.
Besides these two types of differential equations, two chapters are dedicated to resistive networks, and to the way they can be used to investigate the dependence of the resistance of the lung upon geometrical characteristics.
The theoretical analysis of the various models is provided, together with state-of-the-art techniques to compute approximate solutions, allowing comparisons with experimental measurements. The book contains several exercises, most of which are accessible to advanced undergraduate students.
Caracteristici
Numerous exercises helping the reader to learn quickly Online programs allowing the reader to perform his own computations No prior knowledge on physiology required Includes supplementary material: sn.pub/extras