Greedy — where it appears
Named by 2 essays across 2 fields — each of them below, with the objects they name alongside it.
The cap an automaton cannot see
A state of a suffix automaton stands for a set of occurrences and hands back one of them. So a capped parse driven by it can ask whether the earliest occurrence is shallow enough and cannot ask whether any occurrence is — which costs up to 9.8% of the phrases, and only at the caps that bind.
A refit that changes one landmark
Choosing four landmarks again after traffic moves costs hundreds of thousands of cells of search, and on drifting streams it never paid. Keeping three and re-choosing the fourth costs a fifth as much — 0.19 of a full selection, not the twelfth the earlier page guessed. On drifting streams, refitting on the counter goes from a loss of up to 13% to within 2% of fitting once, and it wins where the destination moves six cells. When the destination jumps, it is the cheapest policy measured, 12% under the corners at one jump in 10,000 queries — unless the jumps come as often as one in 2,500.
Named alongside it
The objects these essays reach for when they reach for this one.
Break-evenConstructionDefinitionDepth capEndposHeuristic searchHonest limitLandmarkLempel zivMeasurementMeasurement designParameter choice