OrderedBits: Efficient ordered (by popcount) enumeration of bits

[ bsd3, data, library ] [ Propose Tags ]

This library provides efficient methods to enumerate all elements of a set in order of the population count. First, the empty set, then all 1-element sets, all 2-element sets, etc. Such enumerations are important for algorithms over unordered data sets. Examples include the travelling salesman problem and the closely related Hamiltonian path problem.


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Versions [RSS] 0.0.0.1, 0.0.0.2, 0.0.0.3, 0.0.1.0, 0.0.1.1, 0.0.1.2, 0.0.2.0
Change log changelog.md
Dependencies base (>=4.7 && <4.9), bits (>=0.4 && <0.5), primitive (>=0.5 && <0.7), QuickCheck (>=2.7 && <2.9), vector (>=0.10 && <0.11), vector-algorithms (>=0.6 && <0.7) [details]
License BSD-3-Clause
Copyright Christian Hoener zu Siederdissen, 2014 - 2015
Author Christian Hoener zu Siederdissen
Maintainer choener@tbi.univie.ac.at
Category Data
Home page http://www.bioinf.uni-leipzig.de/~choener/
Source repo head: git clone git://github.com/choener/OrderedBits
Uploaded by ChristianHoener at 2015-05-07T12:50:48Z
Distributions LTSHaskell:0.0.2.0, NixOS:0.0.2.0, Stackage:0.0.2.0
Downloads 5736 total (24 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2015-05-07 [all 1 reports]

Readme for OrderedBits-0.0.0.1

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OrderedBits

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The OrderedBits library provides methods to generate unboxed vectors of Ints (and others) ordered by their population count or Hamming distance to the 0 set.

Such an order is important for dynamic programming algorithms for Hamiltonian path problems and the travelling salesman problem.

Contact

Christian Hoener zu Siederdissen choener@bioinf.uni-leipzig.de http://www.bioinf.uni-leipzig.de/~choener/