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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Japan Journal of Ind...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Japan Journal of Industrial and Applied Mathematics
Article . 2017 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Use of simple polygonal chains in generating random simple polygons

Authors: Mohsen Movahedinejad; Ali Nourollah;

Use of simple polygonal chains in generating random simple polygons

Abstract

The main motivation for generating random simple polygons is to produce test instances for geometric algorithms. In this paper three new algorithms are proposed to generate random simple polygons. A point set in a two dimensional plane is the input, and a simple polygon is the output of the problem. At first a new algorithm to convert any kind of simple polygonal chains into simple polygons is presented and the correctness of the algorithm is proved. Then three new algorithms are presented to produce random simple polygonal chains from the given point set. The first algorithm is capable of producing $$2^n$$ simple polygonal chains. The second algorithm works by the concept of divide and conquer and the third algorithm is the most complete and produces all the possible simple polygonal chains. The worst time complexities of these three chain generation algorithms are $$O(n^2)$$ , $$O(n^2)$$ and $$O(n^3)$$ respectively and the time complexity of the conversion algorithm is O(n*l), where $$1

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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