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<titleInfo><title>Optimal point location in a monotone subdivision</title></titleInfo>


<note type="publicationStatus">published</note>


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<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">Jorge</namePart>
  <namePart type="family">Stolfi</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>














<abstract lang="eng">Point location, often known in graphics as “hit detection,” is one of the fundamental problems of computational geometry. In a point location query we want to identify which of a given collection of geometric objects contains a particular point. Let $\mathcal{S}$ denote a subdivision of the Euclidean plane into monotone regions by a straight-line graph of $m$ edges. In this paper we exhibit a substantial refinement of the technique of Lee and Preparata [SIAM J. Comput., 6 (1977), pp. 594–606] for locating a point in $\mathcal{S}$ based on separating chains. The new data structure, called a layered dag, can be built in $O(m)$ time, uses $O(m)$ storage, and makes possible point location in $O(\log m)$ time. Unlike previous structures that attain these optimal bounds, the layered dag can be implemented in a simple and practical way, and is extensible to subdivisions with edges more general than straight-line segments.
© 1986 Society for Industrial and Applied Mathematics</abstract>

<originInfo><publisher>SIAM</publisher><dateIssued encoding="w3cdtf">1986</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>SIAM Journal on Computing</title></titleInfo>
  <identifier type="issn">0097-5397</identifier>
  <identifier type="eIssn">1095-7111</identifier><identifier type="doi">10.1137/0215023</identifier>
<part><detail type="volume"><number>15</number></detail><detail type="issue"><number>2</number></detail><extent unit="pages">317 - 340</extent>
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<chicago>Edelsbrunner, Herbert, Leonidas Guibas, and Jorge Stolfi. “Optimal Point Location in a Monotone Subdivision.” &lt;i&gt;SIAM Journal on Computing&lt;/i&gt;. SIAM, 1986. &lt;a href=&quot;https://doi.org/10.1137/0215023&quot;&gt;https://doi.org/10.1137/0215023&lt;/a&gt;.</chicago>
<ama>Edelsbrunner H, Guibas L, Stolfi J. Optimal point location in a monotone subdivision. &lt;i&gt;SIAM Journal on Computing&lt;/i&gt;. 1986;15(2):317-340. doi:&lt;a href=&quot;https://doi.org/10.1137/0215023&quot;&gt;10.1137/0215023&lt;/a&gt;</ama>
<short>H. Edelsbrunner, L. Guibas, J. Stolfi, SIAM Journal on Computing 15 (1986) 317–340.</short>
<ista>Edelsbrunner H, Guibas L, Stolfi J. 1986. Optimal point location in a monotone subdivision. SIAM Journal on Computing. 15(2), 317–340.</ista>
<apa>Edelsbrunner, H., Guibas, L., &amp;#38; Stolfi, J. (1986). Optimal point location in a monotone subdivision. &lt;i&gt;SIAM Journal on Computing&lt;/i&gt;. SIAM. &lt;a href=&quot;https://doi.org/10.1137/0215023&quot;&gt;https://doi.org/10.1137/0215023&lt;/a&gt;</apa>
<mla>Edelsbrunner, Herbert, et al. “Optimal Point Location in a Monotone Subdivision.” &lt;i&gt;SIAM Journal on Computing&lt;/i&gt;, vol. 15, no. 2, SIAM, 1986, pp. 317–40, doi:&lt;a href=&quot;https://doi.org/10.1137/0215023&quot;&gt;10.1137/0215023&lt;/a&gt;.</mla>
<ieee>H. Edelsbrunner, L. Guibas, and J. Stolfi, “Optimal point location in a monotone subdivision,” &lt;i&gt;SIAM Journal on Computing&lt;/i&gt;, vol. 15, no. 2. SIAM, pp. 317–340, 1986.</ieee>
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