OrdPSQ k p v, which uses the Ord k instance to provide fast insertion,
deletion and lookup. This implementation is based on Ralf Hinze's
A Simple Implementation Technique for Priority Search Queues.
Hence, it is similar to the
PSQueue library, although it is
considerably faster and provides a slightly different API.
IntPSQ p v is a far more efficient implementation. It fixes the key type
to Int and uses a radix tree
(like IntMap) with an additional min-heap property.
HashPSQ k p v is a fairly straightforward extension of IntPSQ: it
simply uses the keys' hashes as indices in the IntPSQ. If there are any
hash collisions, it uses an OrdPSQ to resolve those. The performance of
this implementation is comparable to that of IntPSQ, but it is more widely
applicable since the keys are not restricted to Int, but rather to any
Hashable datatype.
Each of the three implementations provides the same API, so they can be used
interchangeably. The benchmarks show how they perform relative to one
another, and also compared to the other Priority Search Queue
implementations on Hackage:
PSQueue
and
fingertree-psqueue.
Typical applications of Priority Search Queues include:
Caches, and more specifically LRU Caches;
Schedulers;
Pathfinding algorithms, such as Dijkstra's and A*.