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<titleInfo><title>Weighted Poisson–Delaunay mosaics</title></titleInfo>


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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>
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  <namePart type="given">Anton</namePart>
  <namePart type="family">Nikitenko</namePart>
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<name type="corporate">
  <namePart>Alpha Shape Theory Extended</namePart>
  <role><roleTerm type="text">project</roleTerm></role>
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  <namePart>Persistence and stability of geometric complexes</namePart>
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<abstract lang="eng">Slicing a Voronoi tessellation in ${R}^n$ with a $k$-plane gives a $k$-dimensional weighted Voronoi tessellation, also known as a power diagram or Laguerre tessellation. Mapping every simplex of the dual weighted Delaunay mosaic to the radius of the smallest empty circumscribed sphere whose center lies in the $k$-plane gives a generalized discrete Morse function. Assuming the Voronoi tessellation is generated by a Poisson point process in ${R}^n$, we study the expected number of simplices in the $k$-dimensional weighted Delaunay mosaic as well as the expected number of intervals of the Morse function, both as functions of a radius threshold. As a by-product, we obtain a new proof for the expected number of connected components (clumps) in a line section of a circular Boolean model in ${R}^n$.</abstract>

<originInfo><publisher>SIAM</publisher><dateIssued encoding="w3cdtf">2020</dateIssued>
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<relatedItem type="host"><titleInfo><title>Theory of Probability and its Applications</title></titleInfo>
  <identifier type="issn">0040-585X</identifier>
  <identifier type="eIssn">1095-7219</identifier>
  <identifier type="arXiv">1705.08735</identifier>
  <identifier type="ISI">000551393100007</identifier><identifier type="doi">10.1137/S0040585X97T989726</identifier>
<part><detail type="volume"><number>64</number></detail><detail type="issue"><number>4</number></detail><extent unit="pages">595-614</extent>
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<mla>Edelsbrunner, Herbert, and Anton Nikitenko. “Weighted Poisson–Delaunay Mosaics.” &lt;i&gt;Theory of Probability and Its Applications&lt;/i&gt;, vol. 64, no. 4, SIAM, 2020, pp. 595–614, doi:&lt;a href=&quot;https://doi.org/10.1137/S0040585X97T989726&quot;&gt;10.1137/S0040585X97T989726&lt;/a&gt;.</mla>
<ama>Edelsbrunner H, Nikitenko A. Weighted Poisson–Delaunay mosaics. &lt;i&gt;Theory of Probability and its Applications&lt;/i&gt;. 2020;64(4):595-614. doi:&lt;a href=&quot;https://doi.org/10.1137/S0040585X97T989726&quot;&gt;10.1137/S0040585X97T989726&lt;/a&gt;</ama>
<ieee>H. Edelsbrunner and A. Nikitenko, “Weighted Poisson–Delaunay mosaics,” &lt;i&gt;Theory of Probability and its Applications&lt;/i&gt;, vol. 64, no. 4. SIAM, pp. 595–614, 2020.</ieee>
<short>H. Edelsbrunner, A. Nikitenko, Theory of Probability and Its Applications 64 (2020) 595–614.</short>
<chicago>Edelsbrunner, Herbert, and Anton Nikitenko. “Weighted Poisson–Delaunay Mosaics.” &lt;i&gt;Theory of Probability and Its Applications&lt;/i&gt;. SIAM, 2020. &lt;a href=&quot;https://doi.org/10.1137/S0040585X97T989726&quot;&gt;https://doi.org/10.1137/S0040585X97T989726&lt;/a&gt;.</chicago>
<ista>Edelsbrunner H, Nikitenko A. 2020. Weighted Poisson–Delaunay mosaics. Theory of Probability and its Applications. 64(4), 595–614.</ista>
<apa>Edelsbrunner, H., &amp;#38; Nikitenko, A. (2020). Weighted Poisson–Delaunay mosaics. &lt;i&gt;Theory of Probability and Its Applications&lt;/i&gt;. SIAM. &lt;a href=&quot;https://doi.org/10.1137/S0040585X97T989726&quot;&gt;https://doi.org/10.1137/S0040585X97T989726&lt;/a&gt;</apa>
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