Preconditioned conjugate gradient methods for the incompressible Navier‐Stokes equations

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Abstract
A robust technique for solving primitive variable formulations of the incompressible Navier‐Stokes equations is to use Newton iteration for the fully implicit non‐linear equations. A direct sparse matrix method can be used to solve the Jacobian but is costly for large problems; an alternative is to use an iterative matrix method. This paper investigates effective ways of using a conjugate‐gradient‐type method with an incomplete LU factorization preconditioner for two‐dimensional incompressible viscous flow problems. Special attention is paid to the ordering of unknowns, with emphasis on a minimum updating matrix (MUM) ordering. Numerical results are given for several test problems.

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