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Multigrid finite volume method for FGF-2 transport and binding

  • Wensheng Shen
  • , Kimberly Forsten-Williams
  • , Michael Fannon
  • , Changjiang Zhang
  • , Jun Zhang

Producción científica: Conference contributionrevisión exhaustiva

Resumen

A multigrid finite volume method has been developed to accelerate the solution process for simulating complex biological transport phenomena, involving convection, diffusion, and reaction. The method has been applied to a computational model which includes media flow in a cell-lined cylindrical vessel and fibroblast growth factor-2 (FGF-2) within the fluid capable of binding to receptors and heparan sulfate proteoglycans (HSPGs) on the cell surface. The differential equations were discretized by the finite volume method and solved with the multigrid V-cycle algorithm. Our work indicates that the multigrid finite volume method may allow users to investigate complex biological systems with less CPU time.

Idioma originalEnglish
Título de la publicación alojadaMachine Learning and Systems Engineering
Páginas297-310
Número de páginas14
DOI
EstadoPublished - 2010
EventoInternational Conference on Advances in Machine Learning and Systems Engineering - Berkeley, CA, United States
Duración: oct 20 2009oct 22 2009

Serie de la publicación

NombreLecture Notes in Electrical Engineering
Volumen68 LNEE
ISSN (versión impresa)1876-1100
ISSN (versión digital)1876-1119

Conference

ConferenceInternational Conference on Advances in Machine Learning and Systems Engineering
País/TerritorioUnited States
CiudadBerkeley, CA
Período10/20/0910/22/09

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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