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<titleInfo><title>Diameter, width, closest line pair, and parametric searching</title></titleInfo>


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<name type="personal">
  <namePart type="given">Bernard</namePart>
  <namePart type="family">Chazelle</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>
<name type="personal">
  <namePart type="given">Leonidas</namePart>
  <namePart type="family">Guibas</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Micha</namePart>
  <namePart type="family">Sharir</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>














<abstract lang="eng">We apply Megiddo&apos;s parametric searching technique to several geometric optimization problems and derive significantly improved solutions for them. We obtain, for any fixed ε&amp;gt;0, an O(n1+ε) algorithm for computing the diameter of a point set in 3-space, an O(8/5+ε) algorithm for computing the width of such a set, and on O(n8/5+ε) algorithm for computing the closest pair in a set of n lines in space. All these algorithms are deterministic.</abstract>

<originInfo><publisher>Springer</publisher><dateIssued encoding="w3cdtf">1993</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="doi">10.1007/BF02573973</identifier>
<part><detail type="volume"><number>10</number></detail><detail type="issue"><number>1</number></detail><extent unit="pages">183 - 196</extent>
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<mla>Chazelle, Bernard, et al. “Diameter, Width, Closest Line Pair, and Parametric Searching.” &lt;i&gt;Discrete &amp;#38; Computational Geometry&lt;/i&gt;, vol. 10, no. 1, Springer, 1993, pp. 183–96, doi:&lt;a href=&quot;https://doi.org/10.1007/BF02573973&quot;&gt;10.1007/BF02573973&lt;/a&gt;.</mla>
<ieee>B. Chazelle, H. Edelsbrunner, L. Guibas, and M. Sharir, “Diameter, width, closest line pair, and parametric searching,” &lt;i&gt;Discrete &amp;#38; Computational Geometry&lt;/i&gt;, vol. 10, no. 1. Springer, pp. 183–196, 1993.</ieee>
<chicago>Chazelle, Bernard, Herbert Edelsbrunner, Leonidas Guibas, and Micha Sharir. “Diameter, Width, Closest Line Pair, and Parametric Searching.” &lt;i&gt;Discrete &amp;#38; Computational Geometry&lt;/i&gt;. Springer, 1993. &lt;a href=&quot;https://doi.org/10.1007/BF02573973&quot;&gt;https://doi.org/10.1007/BF02573973&lt;/a&gt;.</chicago>
<apa>Chazelle, B., Edelsbrunner, H., Guibas, L., &amp;#38; Sharir, M. (1993). Diameter, width, closest line pair, and parametric searching. &lt;i&gt;Discrete &amp;#38; Computational Geometry&lt;/i&gt;. Springer. &lt;a href=&quot;https://doi.org/10.1007/BF02573973&quot;&gt;https://doi.org/10.1007/BF02573973&lt;/a&gt;</apa>
<ama>Chazelle B, Edelsbrunner H, Guibas L, Sharir M. Diameter, width, closest line pair, and parametric searching. &lt;i&gt;Discrete &amp;#38; Computational Geometry&lt;/i&gt;. 1993;10(1):183-196. doi:&lt;a href=&quot;https://doi.org/10.1007/BF02573973&quot;&gt;10.1007/BF02573973&lt;/a&gt;</ama>
<ista>Chazelle B, Edelsbrunner H, Guibas L, Sharir M. 1993. Diameter, width, closest line pair, and parametric searching. Discrete &amp;#38; Computational Geometry. 10(1), 183–196.</ista>
<short>B. Chazelle, H. Edelsbrunner, L. Guibas, M. Sharir, Discrete &amp;#38; Computational Geometry 10 (1993) 183–196.</short>
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