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A01=Alfio Quarteroni
A01=Andrea Manzoni
A01=Christian Vergara
A01=Luca Dede'
Age Group_Uncategorized
Age Group_Uncategorized
Author_Alfio Quarteroni
Author_Andrea Manzoni
Author_Christian Vergara
Author_Luca Dede'
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Category1=Non-Fiction
Category=MJD
Category=PBWH
Category=UYA
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Language_English
PA=In stock
Price_€50 to €100
PS=Active
SN=Cambridge Monographs on Applied and Computational Mathematics
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Mathematical Modelling of the Human Cardiovascular System: Data, Numerical Approximation, Clinical Applications

Mathematical and numerical modelling of the human cardiovascular system has attracted remarkable research interest due to its intrinsic mathematical difficulty and the increasing impact of cardiovascular diseases worldwide. This book addresses the two principal components of the cardiovascular system: arterial circulation and heart function. It systematically describes all aspects of the problem, stating the basic physical principles, analysing the associated mathematical models that comprise PDE and ODE systems, reviewing sound and efficient numerical methods for their approximation, and simulating both benchmark problems and clinically inspired problems. Mathematical modelling itself imposes tremendous challenges, due to the amazing complexity of the cardiovascular system and the need for computational methods that are stable, reliable and efficient. The final part is devoted to control and inverse problems, including parameter estimation, uncertainty quantication and the development of reduced-order models that are important when solving problems with high complexity, which would otherwise be out of reach. See more
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A01=Alfio QuarteroniA01=Andrea ManzoniA01=Christian VergaraA01=Luca Dede'Age Group_UncategorizedAuthor_Alfio QuarteroniAuthor_Andrea ManzoniAuthor_Christian VergaraAuthor_Luca Dede'automatic-updateCategory1=Non-FictionCategory=MJDCategory=PBWHCategory=UYACOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€50 to €100PS=ActiveSN=Cambridge Monographs on Applied and Computational Mathematicssoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 780g
  • Dimensions: 181 x 255mm
  • Publication Date: 09 May 2019
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781108480390

About Alfio QuarteroniAndrea ManzoniChristian VergaraLuca Dede'

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.

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