The first step in computer solutions of differential equations (such
as the flow equation we are considering) is approximating continuous
space with a set of discrete points. We then use this discrete set of
points to approximate the real solution. In particular we would like
to know the value of our function 
at each of the points so that
we can derive the flow. The finer we make the points (closer
together) the more accurate our simulations will be. For some
simulations it is adequate to put the points on a regular grid such
that the distance between points is constant over the whole grid. In
other simulations it is important to get more accuracy in certain
areas, in particular in areas where the function of interest is
changing more rapidly. In such simulations one place more points
in places of more interest.
The the data we are going to be using for this assignment (an airplane wing with flaps) has already been broken down into a set of points. This set of points is much denser in regions where airflow is likely to have more interesting effects, such as at the front of the wing and between the back of the wing and the flaps.