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Mathematical and Numerical Modeling of the Cardiovascular System and Applications (Hardcover, 1st ed. 2018): Daniele Boffi,... Mathematical and Numerical Modeling of the Cardiovascular System and Applications (Hardcover, 1st ed. 2018)
Daniele Boffi, Luca F. Pavarino, Gianluigi Rozza, Simone Scacchi, Christian Vergara
R2,808 Discovery Miles 28 080 Ships in 10 - 15 working days

The book comprises contributions by some of the most respected scientists in the field of mathematical modeling and numerical simulation of the human cardiocirculatory system. It covers a wide range of topics, from the assimilation of clinical data to the development of mathematical and computational models, including with parameters, as well as their efficient numerical solution, and both in-vivo and in-vitro validation. It also considers applications of relevant clinical interest. This book is intended for graduate students and researchers in the field of bioengineering, applied mathematics, computer, computational and data science, and medicine wishing to become involved in the highly fascinating task of modeling the cardiovascular system.

Mathematical Modelling of the Human Cardiovascular System - Data, Numerical Approximation, Clinical Applications (Hardcover):... Mathematical Modelling of the Human Cardiovascular System - Data, Numerical Approximation, Clinical Applications (Hardcover)
Alfio Quarteroni, Luca Dede, Andrea Manzoni, Christian Vergara
R2,291 Discovery Miles 22 910 Ships in 12 - 17 working days

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 quantification and the development of reduced-order models that are important when solving problems with high complexity, which would otherwise be out of reach.

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