Etage-Graph: Data-flow based graph algorithms
Data-flow based graph algorithms using the Control.Etage framework, showcasing its use for data-flow computations. It is meant to be used with the Data.Graph.Inductive package which provides graph structures these algorithms take as an input.
Currently only the shortest paths computation is implemented (from all to all nodes).
Also a benchmarking test
program is provided, comparing the performance with algorithms found in the
Data.Graph.Inductive package.
Downloads
- Etage-Graph-0.1.8.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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Versions [RSS] | 0.1, 0.1.1, 0.1.2, 0.1.4, 0.1.6, 0.1.7, 0.1.8 |
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Dependencies | array (>=0.3 && <1), base (>=4.3 && <5), containers (>=0.4 && <1), deepseq (>=1.1 && <2), Etage (>=0.1.11 && <0.2), Etage-Graph (==0.1.7), fgl (>=5.4.2 && <5.5), mtl (>=2.0 && <3), parallel (>=3.1 && <4), random (>=1.0 && <2), time (>=1.1 && <2) [details] |
License | LGPL-3.0-only |
Copyright | (c) 2011-2013 Mitar Milutinovic |
Author | Mitar Milutinovic |
Maintainer | mitar.haskell@tnode.com |
Category | Data Structures |
Home page | http://mitar.tnode.com |
Source repo | head: git clone git://github.com/mitar/etage-graph.git |
Uploaded | by MitarMilutinovic at 2014-05-10T11:08:08Z |
Distributions | |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Executables | etage-graph-test |
Downloads | 6263 total (15 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs not available [build log] All reported builds failed as of 2016-10-25 [all 15 reports] |