Mathematical Modelling of the Human Cardiovascular System: Data, Numerical Approximation, Clinical Applications: 33 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 33) - Hardcover

Quarteroni, Alfio; Dede', Luca; Manzoni, Andrea; Vergara, Christian

Hardcover

ISBN 10: 110848039X ISBN 13: 9781108480390

Publisher: Cambridge University Press, 2019

Synopsis

Addresses the mathematical and numerical modelling of the human cardiovascular system, from patient data to clinical applications.

About this title

About the Authors

Alfio Quarteroni is Professor of Numerical Analysis at Politecnico di Milano. He has authored twenty-five books and over 350 papers in international scientific journals and conference proceedings. He received many awards and honours in recognition of his work, and is a member of the Italian Academy of Science, the European Academy of Science and the Academia Europaea. His research interests include mathematical modelling and its applications.

Luca Dedè is Assistant Professor in Numerical Analysis at Politecnico di Milano. His research involves the development of efficient and accurate numerical methods for the approximation of partial differential equations, multiphysics and multiscale problems, and computational fluid dynamics.

Andrea Manzoni is Assistant Professor in Numerical Analysis at Politecnico di Milano. His 2012 Ph.D. thesis won one of two ECCOMAS Awards for the best Ph.D. theses in Europe about Computational Methods in Applied Sciences and Engineering. His research interests include the development of reduced order modelling techniques for partial differential equations, uncertainty quantification, PDE-constrained optimization, and computational and statistical inverse problems.

Christian Vergara is Associate Professor in Numerical Analysis at Politecnico di Milano. He works on the development of numerical methods for the cardiovascular system, in particular for the fluid-structure interaction problems and the electro-physiology of the ventricles. He has collaborated with hospitals and clinicians to use numerical and computational methods to address several problems of clinical interest.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2019
• Language: English
• ISBN 10: 110848039X
• ISBN 13: 9781108480390
• Binding: Hardcover
• Number of pages: 290