Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
567802 | Advances in Engineering Software | 2007 | 12 Pages |
Abstract
Many environmental processes can be modelled as transient convection–diffusion–reaction problems. This is the case, for instance, of the operation of activated-carbon filters. For industrial applications there is a growing demand for 3D simulations, so efficient linear solvers are a major concern. We have compared the numerical performance of two families of incomplete Cholesky factorizations as preconditioners of conjugate gradient iterations: drop-tolerance and prescribed-memory strategies. Numerical examples show that the former are computationally more efficient, but the latter may be preferable due to their predictable memory requirements.
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Physical Sciences and Engineering
Computer Science
Software
Authors
A. Rodríguez-Ferran, M.L. Sandoval,