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        <identifier>oai:drops-oai.dagstuhl.de:22150</identifier>
        <datestamp>2024-12-04T06:53:44Z</datestamp>
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          <dc:title>Simple Realizability of Abstract Topological Graphs</dc:title>
          <dc:creator>Da Lozzo, Giordano</dc:creator>
          <dc:creator>Didimo, Walter</dc:creator>
          <dc:creator>Montecchiani, Fabrizio</dc:creator>
          <dc:creator>Münch, Miriam</dc:creator>
          <dc:creator>Patrignani, Maurizio</dc:creator>
          <dc:creator>Rutter, Ignaz</dc:creator>
          <dc:subject>Abstract Topological Graphs</dc:subject>
          <dc:subject>SPQR-Trees</dc:subject>
          <dc:subject>Synchronized PQ-Trees</dc:subject>
          <dc:description>An abstract topological graph (AT-graph) is a pair A = (G, X), where G = (V,E) is a graph and X ⊆ binom(E,2) is a set of pairs of edges of G. A realization of A is a drawing Γ_A of G in the plane such that any two edges e₁,e₂ of G cross in Γ_A if and only if (e₁,e₂) ∈ X; Γ_A is simple if any two edges intersect at most once (either at a common endpoint or at a proper crossing). The AT-graph Realizability (ATR) problem asks whether an input AT-graph admits a realization. The version of this problem that requires a simple realization is called Simple AT-graph Realizability (SATR). It is a classical result that both ATR and SATR are NP-complete [Kratochvíl, 1991; Kratochvíl and Matoušek, 1989].&#13;
In this paper, we study the SATR problem from a new structural perspective. More precisely, we consider the size λ(A) of the largest connected component of the crossing graph of any realization of A, i.e., the graph C(A) = (E, X). This parameter represents a natural way to measure the level of interplay among edge crossings. First, we prove that SATR is NP-complete when λ(A) ≥ 6. On the positive side, we give an optimal linear-time algorithm that solves SATR when λ(A) ≤ 3 and returns a simple realization if one exists. Our algorithm is based on several ingredients, in particular the reduction to a new embedding problem subject to constraints that require certain pairs of edges to alternate (in the rotation system), and a sequence of transformations that exploit the interplay between alternation constraints and the SPQR-tree and PQ-tree data structures to eventually arrive at a simpler embedding problem that can be solved with standard techniques.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Giordano Da Lozzo and Walter Didimo and Fabrizio Montecchiani and Miriam Münch and Maurizio Patrignani and Ignaz Rutter</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 322, 35th International Symposium on Algorithms and Computation (ISAAC 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2024.23</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-221501</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2024.23</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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