0000000000429510

AUTHOR

Orlando Astudillo

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Tridiagonal preconditioning for Poisson-like difference equations with flat grids: Application to incompressible atmospheric flow

2011

AbstractThe convergence of many iterative procedures, in particular that of the conjugate gradient method, strongly depends on the condition number of the linear system to be solved. In cases with a large condition number, therefore, preconditioning is often used to transform the system into an equivalent one, with a smaller condition number and therefore faster convergence. For Poisson-like difference equations with flat grids, the vertical part of the difference operator is dominant and tridiagonal and can be used for preconditioning. Such a procedure has been applied to incompressible atmospheric flows to preserve incompressibility, where a system of Poisson-like difference equations is …

Poisson-like equationBiconjugate gradient method010504 meteorology & atmospheric sciencesTridiagonal matrixOperator (physics)Applied MathematicsLinear systemGeometryPreconditioning010103 numerical & computational mathematics01 natural sciencesComputational MathematicsConjugate gradient methodConvergence (routing)Convergence accelerationApplied mathematicsDynamic pressure0101 mathematicsCondition numberCondition numberAtmospheric model0105 earth and related environmental sciencesMathematicsFlat gridsJournal of Computational and Applied Mathematics
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