Adaptive hull hashing

[mourner]

Capturing an idea of a potential performance improvement: currently we use a fixed hash table size for the hull — sqrt(n). This generally works very well, but can be too low for certain kinds of input where hull sizes tend to be big.

For optimal performance, hash size should depend on the size of the convex hull, but we don't know that size beforehand. So what we could try to do is to reinitialize the hash from scratch multiple times during triangulation, adjusting it to the hull size. If we don't do it often (e.g. once per 1000 processed points), it shouldn't have a noticeable overhead.

[Av3r3tt]

Hmmm... I was wondering whether this would help?

http://geosensor.net/papers/duckham08.PR.pdf

The paper explains an algorithm to generate "simple polygons for characterizing the shape of a set of points in the plane". I don't know whether we are using that algorithm already, but it is based on an already pre-existing delaunay triangulation, and delivers in O(n log n). I realize we have that hull already, just throwing this in.