  Jet finding is a type of optimization problem, where hadrons from a
high-energy collision event are grouped into jets based on a clustering
criterion. As three interesting examples, one can form a jet cluster that (1)
optimizes the overall jet four-vector, (2) optimizes the jet axis, or (3)
aligns the jet axis with the jet four-vector. In this paper, we show that these
three approaches to jet finding, despite being philosophically quite different,
can be regarded as descendants of a mother optimization problem. For the
special case of finding a single cone jet of fixed opening angle, the three
approaches are genuinely identical when defined appropriately, and the result
is a stable cone jet with the largest value of a quantity J. This relationship
is only approximate for cone jets in the rapidity-azimuth plane, as used at the
Large Hadron Collider, though the differences are mild for small radius jets.
