
AbstractA 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.
incomplete LU factorization, minimum updating matrix, Other numerical methods (fluid mechanics), primitive variable formulations, Navier-Stokes equations for incompressible viscous fluids
incomplete LU factorization, minimum updating matrix, Other numerical methods (fluid mechanics), primitive variable formulations, Navier-Stokes equations for incompressible viscous fluids
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 29 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
