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Modeling of physiological flows

Ambrosi, Davide.

Modeling of physiological flows

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling of physiological flowsedited by Davide Ambrosi, Alfio Quarteroni, Gianluigi Rozza.
other author:	Ambrosi, Davide.
Published:	Milano :Springer Milan :2012.
Description:	x, 414 p. :ill., digital ;25 cm.
Contained By:	Springer eBooks
Subject:	Cardiovascular systemMathematical models.
Online resource:	https://doi.org/10.1007/978-88-470-1935-5
ISBN:	nam a2200277 a 4500

Modeling of physiological flows
Modeling of physiological flows[electronic resource] /edited by Davide Ambrosi, Alfio Quarteroni, Gianluigi Rozza. - Milano :Springer Milan :2012. - x, 414 p. :ill., digital ;25 cm. - MS&A, Modeling, Simulation, & Applications,52037-5255 ;. - MS&A (Series) ;v.6..

This book offers a mathematical update of the state of the art of the research in the field of mathematical and numerical models of the circulatory system. It is structured into different chapters, written by outstanding experts in the field. Many fundamental issues are considered, such as: the mathematical representation of vascular geometries extracted from medical images, modelling blood rheology and the complex multilayer structure of the vascular tissue, and its possible pathologies, the mechanical and chemical interaction between blood and vascular walls, and the different scales coupling local and systemic dynamics. All of these topics introduce challenging mathematical and numerical problems, demanding for advanced analysis and efficient simulation techniques, and pay constant attention to applications of relevant clinical interest. This book is addressed to graduate students and researchers in the field of bioengineering, applied mathematics and medicine, wishing to engage themselves in the fascinating task of modeling the cardiovascular system or, more broadly, physiological flows.

ISBN: nam a2200277 a 4500Subjects--Topical Terms:

404977
Cardiovascular system
--Mathematical models.

LC Class. No.: QP105 / .M634 2012

Dewey Class. No.: 612.1015118

Modeling of physiological flows
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260 $a Milano : $b Springer Milan : $b Imprint: Springer, $c 2012.
300 $a x, 414 p. : $b ill., digital ; $c 25 cm.
490 1 $a MS&A, Modeling, Simulation, & Applications, $x 2037-5255 ; $v 5
520 $a This book offers a mathematical update of the state of the art of the research in the field of mathematical and numerical models of the circulatory system. It is structured into different chapters, written by outstanding experts in the field. Many fundamental issues are considered, such as: the mathematical representation of vascular geometries extracted from medical images, modelling blood rheology and the complex multilayer structure of the vascular tissue, and its possible pathologies, the mechanical and chemical interaction between blood and vascular walls, and the different scales coupling local and systemic dynamics. All of these topics introduce challenging mathematical and numerical problems, demanding for advanced analysis and efficient simulation techniques, and pay constant attention to applications of relevant clinical interest. This book is addressed to graduate students and researchers in the field of bioengineering, applied mathematics and medicine, wishing to engage themselves in the fascinating task of modeling the cardiovascular system or, more broadly, physiological flows.
650 0 $a Cardiovascular system $x Mathematical models. $3 404977
650 0 $a Hemodynamics $x Mathematical models. $3 585210
650 0 $a Body fluid flow $x Mathematical models. $3 487287
650 1 4 $a Mathematics. $3 184409
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 274020
650 2 4 $a Human Physiology. $3 274509
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 274070
650 2 4 $a Computer Appl. in Life Sciences. $3 274180
650 2 4 $a Partial Differential Equations. $3 274075
650 2 4 $a Biomedical Engineering. $3 190464
700 1 $a Ambrosi, Davide. $3 585208
700 1 $a Quarteroni, Alfio. $3 239354
700 1 $a Rozza, Gianluigi. $3 585209
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856 4 0 $u https://doi.org/10.1007/978-88-470-1935-5
950 $a Mathematics and Statistics (Springer-11649)