  In this paper, we discuss two grid-quality measures, F- and G-measures, in
relation to iterative convergence of an implicit unstructured-grid
Navier-Stokes solver. The F-measure is a lower bound of a least-squares
gradient, which is a purely geometrical quantity defined in each cell and thus
can be computed for a given grid: faster convergence is expected for a grid
with a lower value of the F-measure. The G-measure is a least-squares gradient
of a specified function around each cell, with the minimum value of zero.
Faster convergence is expected for a smaller value of the G-measure towards
zero. In this paper, we investigate these measures for inviscid and viscous
problems with unstructured grids in two dimensions.
