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

Por: Colaborador(es): Tipo de material: TextoTextoSeries Monographs in Computational Science and Engineering ; 1Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Descripción: xii, 312 páginas recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783540334378
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QA71-90
Recursos en línea:
Contenidos:
Physiological Background -- Mathematical Models -- Computational Models -- Solving Linear Systems -- Solving Systems of ODEs -- Large-Scale Electrocardiac Simulations -- Inverse Problems.
Resumen: 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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Springer eBooks

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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