lca: O(log n) persistent on-line lowest common ancestor calculation without preprocessing
This package provides a reference implementation of my skew binary random access algorithm for performing an online lowest common ancestor search (and online level ancestor search) in logarithmic time without preprocessing. This improves the previous known asymptotic bound for both of these problems from O(h) to O(log h), where h is the height of the tree. Mostly importantly this bound is completely independent of the width or overall size of the tree, enabling you to calculate lowest common ancestors in a distributed fashion with good locality.
While offline algorithms exist for both of these algorithms that that provide O(1) query time, they all require at least O(n) preprocessing, where n is the size of the entire tree, and so are less suitable for LCA search in areas such as revision control where the tree is constantly updated, or distributed computing where the tree may be too large to fit in any one computer's memory.
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|Versions [faq]||0.1, 0.1.0.1, 0.2, 0.2.1, 0.2.2, 0.2.3, 0.2.4, 0.3, 0.3.1|
|Dependencies||base (>=4 && <4.11) [details]|
|Copyright||Copyright (C) 2011-2015 Edward A. Kmett|
|Author||Edward A. Kmett|
|Maintainer||Edward A. Kmett <email@example.com>|
|Revised||Revision 1 made by HerbertValerioRiedel at Wed Aug 29 21:07:07 UTC 2018|
|Category||Algorithms, Data Structures|
|Source repo||head: git clone git://github.com/ekmett/lca.git|
|Uploaded||by EdwardKmett at Sun Mar 8 10:04:00 UTC 2015|
|Distributions||LTSHaskell:0.3.1, NixOS:0.3.1, Stackage:0.3.1|
|Downloads||4813 total (16 in the last 30 days)|
|Rating||2.0 (votes: 1) [estimated by rule of succession]|
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Last success reported on 2016-05-06 [all 2 reports]
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