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View Code? Open in Web Editor NEWPurely functional data structures for OCaml, translated from Chris Okasaki's book "Purely Functional Data Structures"
License: Other
Purely functional data structures for OCaml, translated from Chris Okasaki's book "Purely Functional Data Structures"
License: Other
Okasaki's lazy binomial heaps have good amortized bounds, but extraction is linear in the worst case. It's quite easy to make all operations worst-case logarithmic by representing the spine as a stream instead of a suspended list. Insertion can use a technique I think is due to Hinze and Paterson (see Finger Trees: A Simple General-purpose Data Structure). On insertion into a One
node, the existing child of the node is forced, and then a suspension is created for the cascade. The amortized bounds remain the same, but the worst-case bounds improve as I described. The practical performance can be expected to improve as well, thanks in large part to caching. Specifically, with Okasaki's version, a bunch of insertions in a row will create a huge chain of suspensions. The first extraction must walk this chain (all over memory) to create the actual spine. With the stream version, there's at most one suspension for each vertebra of the spine.
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