Acceleration of iterative algorithms on highly clustered grids
A family of new methods developed to accelerate the convergence rate of iterative algorithms for obtaining a steady-state solution as an asymptotic limit of an unsteady second-order partial differential equation or a system of such equations is described.
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Veröffentlicht in: | AIAA journal 1996-04, Vol.34 (4), p.691-699 |
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container_title | AIAA journal |
container_volume | 34 |
creator | Choi, Kwang-Yoon Dulikravich, George S |
description | A family of new methods developed to accelerate the convergence rate of iterative algorithms for obtaining a steady-state solution as an asymptotic limit of an unsteady second-order partial differential equation or a system of such equations is described. |
doi_str_mv | 10.2514/3.13129 |
format | Article |
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issn | 0001-1452 1533-385X |
language | eng |
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source | Alma/SFX Local Collection |
subjects | Algorithms Aviation Computational methods in fluid dynamics Exact sciences and technology Fluid dynamics Fundamental areas of phenomenology (including applications) Physics |
title | Acceleration of iterative algorithms on highly clustered grids |
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