OrderedBits: Efficient ordered (by popcount) enumeration of bits
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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Name | Description | Default |
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llvm | build using LLVM | Disabled |
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Downloads
- OrderedBits-0.0.0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
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 |
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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 |
Reverse Dependencies | 4 direct, 33 indirect [details] |
Downloads | 6161 total (12 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs available [build log] Last success reported on 2015-05-07 [all 1 reports] |