Nearest Neighbour Graph and Locally Minimal Triangulation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932181" target="_blank" >RIV/49777513:23520/17:43932181 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-62395-5_31" target="_blank" >http://dx.doi.org/10.1007/978-3-319-62395-5_31</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-62395-5_31" target="_blank" >10.1007/978-3-319-62395-5_31</a>
Alternative languages
Result language
angličtina
Original language name
Nearest Neighbour Graph and Locally Minimal Triangulation
Original language description
Nearest neighbour graph (NNG) is a useful tool namely for collision detection tests. It is well known that NNG, when considered as an undirected graph, is a subgraph of Delaunay triangulation and this relation can be used for efficient NNG computation. This paper concentrates on relation of NNG to the locally minimal triangulation (LMT) and shows that, although NNG can be proved not to be a LMT subgraph, in most cases LMT contains all or nearly all NNG edges. This fact can also be used for NNG computation, namely in kinetic problems, because LMT computation is easier.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Science and Its Applications – ICCSA 2017, 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part II
ISBN
978-3-319-62394-8
ISSN
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e-ISSN
neuvedeno
Number of pages
10
Pages from-to
455-464
Publisher name
Springer
Place of publication
Cham
Event location
Trieste
Event date
Jul 3, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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