Fast structured AMG preconditioning for the bidomain model in electrocardiology (Articolo in rivista)

Type
Label
  • Fast structured AMG preconditioning for the bidomain model in electrocardiology (Articolo in rivista) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1137/100796364 (literal)
Alternative label
  • Pennacchio M., Simoncini V. (2011)
    Fast structured AMG preconditioning for the bidomain model in electrocardiology
    in SIAM journal on scientific computing (Print); SIAM Publications, Philadelphia (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pennacchio M., Simoncini V. (literal)
Pagina inizio
  • 721 (literal)
Pagina fine
  • 745 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 33 (literal)
Rivista
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Matematica Applicata e Tecnologie Informatiche del C.N.R., Pavia, Italy; CIRSA, Ravenna, Italy; Università di Bologna, Dipartimento di Matematica, Bologna, Italy (literal)
Titolo
  • Fast structured AMG preconditioning for the bidomain model in electrocardiology (literal)
Abstract
  • The electrical activity of the heart may be modeled by a nonlinear system of partial differential equations known as the bidomain model. Due to the rapid variations in the electrical field, accurate simulations require a fine-scale discretization of the equations and consequently the solution of large severely ill-conditioned linear systems at each time step. Solving these systems is a major bottleneck of the whole simulation. We propose a highly effective preconditioning strategy for a general and popular three-dimensional formulation of the problem. A theoretical analysis of the preconditioned matrix ensuring mesh independence of the spectrum is also described. Numerical comparisons with state-of-the-art approaches confirm the effectiveness of our preconditioning technique. Finally, we show that an equivalent but less exercised formulation provides the best performance, in terms of CPU time. (literal)
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