jps: Jump point search for Haskell

[ algorithm, bsd3, library ] [ Propose Tags ]

Please see the README on GitHub at https://github.com/isovector/jps#readme


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Versions [RSS] 0.1.0.0
Change log ChangeLog.md
Dependencies base (>=4.7 && <5), containers, fingertree, lens, vector [details]
License BSD-3-Clause
Copyright 2018 Zachary Kamerling
Author Zachary Kamerling
Maintainer Sandy Maguire <sandy@sandymaguire.me>
Category Algorithm
Home page https://github.com/isovector/jps#readme
Bug tracker https://github.com/isovector/jps/issues
Source repo head: git clone https://github.com/isovector/jps
Uploaded by isovector at 2018-08-20T01:29:17Z
Distributions NixOS:0.1.0.0
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 798 total (7 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 2018-08-20 [all 1 reports]

Readme for jps-0.1.0.0

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jps -- jump point search for Haskell

Build Status | Hackage

Dedication

People take the longest possible paths, digress to numerous dead ends, and make all kinds of mistakes.Then historians come along and write summaries of this messy, nonlinear process and make it appear like a simple, straight line.

Dean Kamen

Overview

Jump point search is a variant of A* that cuts down on the search space by assuming you always want to continue in a straight line. As such, it runs remarkably faster on graphs that are mostly open.

For a fantastic introduction to how the algorithm works, check out zerowidth positive lookahead's excellent explanation.

jps is a Haskell implementation of jump point search. It was originally written by Zachary Kamerling and is maintained by Sandy Maguire.