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Computing the Electrical Activity in the Heart [electronic resource] / by Joakim Sundnes, Glenn Terje Lines, Xing Cai, Bjørn Fredrik Nielsen, Kent-Andre Mardal, Aslak Tveito.

By: Contributor(s): Material type: TextTextSeries: Monographs in Computational Science and Engineering ; 1Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Description: XII, 318 p. 99 illus., 18 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540334378
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 004 23
LOC classification:
  • QA71-90
Online resources:
Contents:
Physiological Background -- Mathematical Models -- Computational Models -- Solving Linear Systems -- Solving Systems of ODEs -- Large-Scale Electrocardiac Simulations -- Inverse Problems.
In: Springer eBooksSummary: This book describes mathematical models and numerical techniques for simulating the electrical activity in the heart. The book gives an introduction to the most important models of the field, followed by a detailed description of numerical techniques for the models. Particular focus is on efficient numerical methods for large scale simulations on both scalar and parallel computers. The results presented in the book will be of particular interest to researchers in bioengineering and computational biology, who face the challenge of solving these complex mathematical models efficiently. The book will also serve as a valuable introduction to a new and exciting field for computational scientists and applied mathematicians.
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Physiological Background -- Mathematical Models -- Computational Models -- Solving Linear Systems -- Solving Systems of ODEs -- Large-Scale Electrocardiac Simulations -- Inverse Problems.

This book describes mathematical models and numerical techniques for simulating the electrical activity in the heart. The book gives an introduction to the most important models of the field, followed by a detailed description of numerical techniques for the models. Particular focus is on efficient numerical methods for large scale simulations on both scalar and parallel computers. The results presented in the book will be of particular interest to researchers in bioengineering and computational biology, who face the challenge of solving these complex mathematical models efficiently. The book will also serve as a valuable introduction to a new and exciting field for computational scientists and applied mathematicians.

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