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
Hauptverfasser: Choi, Kwang-Yoon, Dulikravich, George S
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container_title AIAA journal
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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
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ispartof AIAA journal, 1996-04, Vol.34 (4), p.691-699
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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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