Mathematical Modelling of the Human Cardiovascular System
eBook - PDF

Mathematical Modelling of the Human Cardiovascular System

Data, Numerical Approximation, Clinical Applications

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Mathematical Modelling of the Human Cardiovascular System

Data, Numerical Approximation, Clinical Applications

About this book

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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Yes, you can access Mathematical Modelling of the Human Cardiovascular System by Alfio Quarteroni,Luca Dede',Andrea Manzoni,Christian Vergara in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title page
  3. Series page
  4. Title page
  5. Copyright page
  6. Contents
  7. Introduction
  8. PART ONE ARTERIAL CIRCULATION
  9. PART TWO HEART FUNCTION
  10. PART THREE OPTIMIZATION, CONTROL, UNCERTAINTY AND COMPLEXITY REDUCTION
  11. References
  12. Index