A graph G is a domination graph if each induced subgraph of G has a pair of vertices such that the open neighborhood of one is contained in the closed neighborhood of the other in the subgraph. No polynomial time algo...
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A graph G is a domination graph if each induced subgraph of G has a pair of vertices such that the open neighborhood of one is contained in the closed neighborhood of the other in the subgraph. No polynomial time algorithm or hardness result is known for the problem of deciding whether a graph is a domination graph. In this paper, it is shown that the class of planar domination graphs is equivalent to the class of planar weakly chordal graphs, and thus, can be recognized in polynomial time. (C) 2002 Elsevier Science B.V. All rights reserved.
Cover-incomparability graphs (C-I graphs) are graphs whose edge-set is the union of edge-sets of the incomparability graph and the cover graph of some poset. C-I graphs captured attention as an interesting class of gr...
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Cover-incomparability graphs (C-I graphs) are graphs whose edge-set is the union of edge-sets of the incomparability graph and the cover graph of some poset. C-I graphs captured attention as an interesting class of graphs from posets. It is known that the recognition of C-I graphs is NP-complete (Maxova et al., Order 26(3), 229-236, 2009). Hence, the problem of finding a particular graph family of C-I graphs whose recognition complexity is polynomial is interesting. We present a new forbidden subgraph characterization of Ptolemaic C-I graphs and a linear time algorithm for its recognition. The characterization of chordal C-I graph is an unsolved problem in this area for quite some time. In this paper, we characterize the family of chordal C-I graphs.
In 1970 Freeman suggested the following criteria which the chain code of a line must meet [1], [2]: 1) at most two basic directions are present and these can differ only by unity, modulo eight, 2) one of these values ...
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In 1970 Freeman suggested the following criteria which the chain code of a line must meet [1], [2]: 1) at most two basic directions are present and these can differ only by unity, modulo eight, 2) one of these values always occurs singly, 3) successive occurrences of the principal direction occurring singly are as uniformly spaced as possible. In this correspondence we give the following: 1) an algorithm presentation of Freeman"s three properties about the chain code of a line and the proof that it is also the algorithm recognizing whether a chain code is the chain code of a line, 2) the proof of the equivalence of the above presentation and Rosenfeld"s chord property [3].
作者:
Hellmuth, MarcStadler, Peter F.Wieseke, NicolasErnst Moritz Arndt Univ Greifswald
Dept Math & Comp Sci Walther Rathenau Str 47 D-17487 Greifswald Germany Univ Saarland
Ctr Bioinformat Bldg E 2-1POB 151150 D-66041 Saarbrucken Germany Univ Leipzig
Dept Comp Sci Bioinformat Grp Hartelstr 16-18 D-04107 Leipzig Germany Univ Leipzig
Interdisciplinary Ctr Bioinformat Hartelstr 16-18 D-04107 Leipzig Germany Max Planck Inst Math Sci
Inselstr 22 D-04103 Leipzig Germany Univ Vienna
Inst Theoret Chem Wahringerstr 17 A-1090 Vienna Austria Santa Fe Inst
1399 Hyde Pk Rd Santa Fe NM 87501 USA Univ Leipzig
Dept Comp Sci Parallel Comp & Complex Syst Grp Johannisgasse 26 D-04103 Leipzig Germany Univ Leipzig
Interdisciplinary Ctr Bioinformat Johannisgasse 26 D-04103 Leipzig Germany
The concepts of orthology, paralogy, and xenology play a key role in molecular evolution. Orthology and paralogy distinguish whether a pair of genes originated by speciation or duplication. The corresponding binary re...
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The concepts of orthology, paralogy, and xenology play a key role in molecular evolution. Orthology and paralogy distinguish whether a pair of genes originated by speciation or duplication. The corresponding binary relations on a set of genes form complementary cographs. Allowing more than two types of ancestral event types leads to symmetric symbolic ultrametrics. Horizontal gene transfer, which leads to xenologous gene pairs, however, is inherent asymmetric since one offspring copy "jumps" into another genome, while the other continues to be inherited vertically. We therefore explore here the mathematical structure of the non-symmetric generalization of symbolic ultrametrics. Our main results tie non-symmetric ultrametrics together with di-cographs (the directed generalization of cographs), so-called uniformly non-prime () 2-structures, and hierarchical structures on the set of strong modules. This yields a characterization of relation structures that can be explained in terms of trees and types of ancestral events. This framework accommodates a horizontal-transfer relation in terms of an ancestral event and thus, is slightly different from the the most commonly used definition of xenology. As a first step towards a practical use, we present a simple polynomial-time recognition algorithm of 2-structures and investigate the computational complexity of several types of editing problems for 2-structures. We show, finally that these NP-complete problems can be solved exactly as Integer Linear Programs.
Average distance of a graph is expressed in terms of its canonical metric representation. The equality can be modified to an inequality in such a way that it characterizes isometric subgraphs of Hamming graphs. This a...
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Average distance of a graph is expressed in terms of its canonical metric representation. The equality can be modified to an inequality in such a way that it characterizes isometric subgraphs of Hamming graphs. This approach simplifies recognition of these graphs and computation of their average distance. (c) 2004 Elsevier Ltd. All rights reserved.
We show that bisplit graphs can be recognized in O(n(2)) time. The previous best bound of O(mn) for the problem appeared in a recently published article [A. Brandstadt, P.L. Hammer, V.B. Le, V.V. Lozin, Bisplit graphs...
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We show that bisplit graphs can be recognized in O(n(2)) time. The previous best bound of O(mn) for the problem appeared in a recently published article [A. Brandstadt, P.L. Hammer, V.B. Le, V.V. Lozin, Bisplit graphs, Discrete Math. 299 (2005) 11-32] in this journal. (c) 2006 Elsevier B.V. All rights reserved.
Fitch graphs G = (X, E) are di-graphs that are explained by {circle times, 1}-edge-labeled rooted trees with leaf set X: there is an arc xy is an element of E if and only if the unique path in T that connects the leas...
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Fitch graphs G = (X, E) are di-graphs that are explained by {circle times, 1}-edge-labeled rooted trees with leaf set X: there is an arc xy is an element of E if and only if the unique path in T that connects the least common ancestor lca(x, y) of x and y with y contains at least one edge with label "1". In practice, Fitch graphs represent xenology relations, i.e., pairs of genes x and y for which a horizontal gene transfer happened along the path from lca(x, y) to y. In this contribution, we generalize the concept of Fitch graphs and consider complete di-graphs K-vertical bar x vertical bar with vertex set X and a map e that assigns to each arc xy a unique label epsilon(x, y) is an element of M boolean OR {circle times}, where M denotes an arbitrary set of symbols. A di-graph (K-vertical bar x vertical bar, epsilon) is a generalized Fitch graph if there is an M boolean OR {circle times}-edge-labeled tree (T, lambda) that can explain (K-vertical bar x vertical bar, epsilon). We provide a simple characterization of generalized Fitch graphs (K-vertical bar x vertical bar, epsilon) and give an O(vertical bar x vertical bar(2))-time algorithm for their recognition as well as for the reconstruction of the unique least-resolved phylogenetic tree that explains (K-vertical bar x vertical bar, epsilon). (C) 2019 Elsevier B.V. All rights reserved.
The question whether a partition P and a hierarchy H or a tree-like split system S are compatible naturally arises in a wide range of classification problems. In the setting of phylogenetic trees, one asks whether the...
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The question whether a partition P and a hierarchy H or a tree-like split system S are compatible naturally arises in a wide range of classification problems. In the setting of phylogenetic trees, one asks whether the sets of P coincide with leaf sets of connected components obtained by deleting some edges from the tree T that represents H or S, respectively. More generally, we ask whether a refinement T* of T exists such that T* and P are compatible in this sense. The latter is closely related to the question as to whether there exists a tree at all that is compatible with P. We report several characterizations for (refinements of) hierarchies and split systems that are compatible with (systems of) partitions. In addition, we provide a linear-time algorithm to check whether refinements of trees and a given partition are compatible. The latter problem becomes NP-complete but fixed-parameter tractable if a system of partitions is considered instead of a single partition. In this context, we also explore the close relationship of the concept of compatibility and so-called Fitch maps. (C) 2022 The Author(s). Published by Elsevier B.V.
Deciding whether an arbitrary graph contains a sun was recently shown to be NP-complete (HoA ng in SIAM J Discret Math 23:2156-2162, 2010). We show that whether a building-free graph contains a sun can be decided in O...
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Deciding whether an arbitrary graph contains a sun was recently shown to be NP-complete (HoA ng in SIAM J Discret Math 23:2156-2162, 2010). We show that whether a building-free graph contains a sun can be decided in O(min{mn (3), m (1.5) n (2)}) time and, if a sun exists, it can be found in the same time bound. The class of building-free graphs contains many interesting classes of perfect graphs such as Meyniel graphs which, in turn, contains classes such as hhd-free graphs, i-triangulated graphs, and parity graphs. Moreover, there are imperfect graphs that are building-free. The class of building-free graphs generalizes several classes of graphs for which an efficient test for the presence of a sun is known. We also present a vertex elimination scheme for the class of (building, gem)-free graphs. The class of (building, gem)-free graphs is a generalization of the class of distance hereditary graphs and a restriction of the class of (building, sun)-free graphs.
Let G = (V,E) be a graph with vertex set V of size n and edge set E of size m. A vertex nu is an element of V is called a hinge vertex if the distance of any two vertices becomes longer after ii is removed. A graph wi...
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Let G = (V,E) be a graph with vertex set V of size n and edge set E of size m. A vertex nu is an element of V is called a hinge vertex if the distance of any two vertices becomes longer after ii is removed. A graph without hinge vertex is called a hinge-free graph. In general, a graph G is k-geodetically connected or k-GC for shea if G can tolerate any k-1 vertices failures without increasing the distance among all the remaining vertices. In this paper, we show that recognizing a graph G to be k-GC for the largest value of k can be solved in O(nm) time. In addition, more efficient algorithms for recognizing the L-GC property on some special graphs are presented. These include the O(n + m) time algorithms on strongly chordal graphs (if a strong elimination ordering is given), ptolemaic graphs, and interval graphs, and an O(n(2)) time algorithm on undirected path graphs (if a characteristic tree model is given). Moreover, we show that if the input graph G is not hinge-free then finding all hinge vertices of G can be solved in the same time complexity on the above classes of graphs. (C) 1998 Elsevier Science B.V.
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