@Article{CiCP-9-3,
author = {},
title = {Extrapolation-Based Acceleration of Iterative Solvers: Application to Simulation of 3D Flows},
journal = {Communications in Computational Physics},
year = {2011},
volume = {9},
number = {3},
pages = {607--626},
abstract = {<p style="text-align: justify;">We investigate the effectiveness of two extrapolation-based methods aiming
to approximate the initial state required by an iterative solver in simulations of unsteady
flow problems. The methods lead to about a ten-fold reduction in the iteration
count while requiring only negligible computational overhead. They are particularly
suitable for parallel computing since they are based almost exclusively on data stored
locally on each processor. Performance has been evaluated in simulations of turbulent
flow in a stenosed carotid artery and also in laminar flow in a very large domain
containing the human intracranial arterial tree.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.301109.080410s},
url = {https://global-sci.com/article/80860/extrapolation-based-acceleration-of-iterative-solvers-application-to-simulation-of-3d-flows}
}