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<titleInfo><title>Euclidean minimum spanning trees and bichromatic closest pairs</title></titleInfo>


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<name type="personal">
  <namePart type="given">Pankaj</namePart>
  <namePart type="family">Agarwal</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Herbert</namePart>
  <namePart type="family">Edelsbrunner</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">3FB178DA-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-9823-6833</description></name>
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  <namePart type="family">Schwarzkopf</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
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  <namePart type="given">Emo</namePart>
  <namePart type="family">Welzl</namePart>
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<abstract lang="eng">We present an algorithm to compute a Euclidean minimum spanning tree of a given set S of N points in Ed in time O(Fd (N,N) logd N), where Fd (n,m) is the time required to compute a bichromatic closest pair among n red and m green points in Ed . If Fd (N,N)=Ω(N1+ε), for some fixed e{open}&amp;gt;0, then the running time improves to O(Fd (N,N)). Furthermore, we describe a randomized algorithm to compute a bichromatic closest pair in expected time O((nm log n log m)2/3+m log2 n+n log2 m) in E3, which yields an O(N4/3 log4/3 N) expected time, algorithm for computing a Euclidean minimum spanning tree of N points in E3. In d≥4 dimensions we obtain expected time O((nm)1-1/([d/2]+1)+ε+m log n+n log m) for the bichromatic closest pair problem and O(N2-2/([d/2]+1)ε) for the Euclidean minimum spanning tree problem, for any positive e{open}.</abstract>

<originInfo><publisher>Springer</publisher><dateIssued encoding="w3cdtf">1991</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>Discrete &amp; Computational Geometry</title></titleInfo>
  <identifier type="issn">0179-5376</identifier>
  <identifier type="eIssn">1432-0444</identifier><identifier type="doi">10.1007/BF02574698</identifier>
<part><detail type="volume"><number>6</number></detail><detail type="issue"><number>1</number></detail><extent unit="pages">407 - 422</extent>
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<short>P. Agarwal, H. Edelsbrunner, O. Schwarzkopf, E. Welzl, Discrete &amp;#38; Computational Geometry 6 (1991) 407–422.</short>
<ista>Agarwal P, Edelsbrunner H, Schwarzkopf O, Welzl E. 1991. Euclidean minimum spanning trees and bichromatic closest pairs. Discrete &amp;#38; Computational Geometry. 6(1), 407–422.</ista>
<mla>Agarwal, Pankaj, et al. “Euclidean Minimum Spanning Trees and Bichromatic Closest Pairs.” &lt;i&gt;Discrete &amp;#38; Computational Geometry&lt;/i&gt;, vol. 6, no. 1, Springer, 1991, pp. 407–22, doi:&lt;a href=&quot;https://doi.org/10.1007/BF02574698&quot;&gt;10.1007/BF02574698&lt;/a&gt;.</mla>
<chicago>Agarwal, Pankaj, Herbert Edelsbrunner, Otfried Schwarzkopf, and Emo Welzl. “Euclidean Minimum Spanning Trees and Bichromatic Closest Pairs.” &lt;i&gt;Discrete &amp;#38; Computational Geometry&lt;/i&gt;. Springer, 1991. &lt;a href=&quot;https://doi.org/10.1007/BF02574698&quot;&gt;https://doi.org/10.1007/BF02574698&lt;/a&gt;.</chicago>
<ama>Agarwal P, Edelsbrunner H, Schwarzkopf O, Welzl E. Euclidean minimum spanning trees and bichromatic closest pairs. &lt;i&gt;Discrete &amp;#38; Computational Geometry&lt;/i&gt;. 1991;6(1):407-422. doi:&lt;a href=&quot;https://doi.org/10.1007/BF02574698&quot;&gt;10.1007/BF02574698&lt;/a&gt;</ama>
<ieee>P. Agarwal, H. Edelsbrunner, O. Schwarzkopf, and E. Welzl, “Euclidean minimum spanning trees and bichromatic closest pairs,” &lt;i&gt;Discrete &amp;#38; Computational Geometry&lt;/i&gt;, vol. 6, no. 1. Springer, pp. 407–422, 1991.</ieee>
<apa>Agarwal, P., Edelsbrunner, H., Schwarzkopf, O., &amp;#38; Welzl, E. (1991). Euclidean minimum spanning trees and bichromatic closest pairs. &lt;i&gt;Discrete &amp;#38; Computational Geometry&lt;/i&gt;. Springer. &lt;a href=&quot;https://doi.org/10.1007/BF02574698&quot;&gt;https://doi.org/10.1007/BF02574698&lt;/a&gt;</apa>
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