538 research outputs found

    Graph multicoloring reduction methods and application to McDiarmid-Reed's Conjecture

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    A (a,b)(a,b)-coloring of a graph GG associates to each vertex a set of bb colors from a set of aa colors in such a way that the color-sets of adjacent vertices are disjoints. We define general reduction tools for (a,b)(a,b)-coloring of graphs for 2≀a/b≀32\le a/b\le 3. In particular, we prove necessary and sufficient conditions for the existence of a (a,b)(a,b)-coloring of a path with prescribed color-sets on its end-vertices. Other more complex (a,b)(a,b)-colorability reductions are presented. The utility of these tools is exemplified on finite triangle-free induced subgraphs of the triangular lattice. Computations on millions of such graphs generated randomly show that our tools allow to find (in linear time) a (9,4)(9,4)-coloring for each of them. Although there remain few graphs for which our tools are not sufficient for finding a (9,4)(9,4)-coloring, we believe that pursuing our method can lead to a solution of the conjecture of McDiarmid-Reed.Comment: 27 page

    Extended core and choosability of a graph

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    A graph GG is (a,b)(a,b)-choosable if for any color list of size aa associated with each vertices, one can choose a subset of bb colors such that adjacent vertices are colored with disjoint color sets. This paper shows an equivalence between the (a,b)(a,b)-choosability of a graph and the (a,b)(a,b)-choosability of one of its subgraphs called the extended core. As an application, this result allows to prove the (5,2)(5,2)-choosability and (7,3)(7,3)-colorability of triangle-free induced subgraphs of the triangular lattice.Comment: 10 page

    Choosability of a weighted path and free-choosability of a cycle

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    A graph GG with a list of colors L(v)L(v) and weight w(v)w(v) for each vertex vv is (L,w)(L,w)-colorable if one can choose a subset of w(v)w(v) colors from L(v)L(v) for each vertex vv, such that adjacent vertices receive disjoint color sets. In this paper, we give necessary and sufficient conditions for a weighted path to be (L,w)(L,w)-colorable for some list assignments LL. Furthermore, we solve the problem of the free-choosability of a cycle.Comment: 9 page

    Vectorial solutions to list multicoloring problems on graphs

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    For a graph GG with a given list assignment LL on the vertices, we give an algebraical description of the set of all weights ww such that GG is (L,w)(L,w)-colorable, called permissible weights. Moreover, for a graph GG with a given list LL and a given permissible weight ww, we describe the set of all (L,w)(L,w)-colorings of GG. By the way, we solve the {\sl channel assignment problem}. Furthermore, we describe the set of solutions to the {\sl on call problem}: when ww is not a permissible weight, we find all the nearest permissible weights wâ€Čw'. Finally, we give a solution to the non-recoloring problem keeping a given subcoloring.Comment: 10 page

    GEOM Module manual: I User guide

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    The GEOM module is part of the AMAPmod software and consists of a 3D objects description language. Based on the MTG model, this language provides a simple and ïŹ‚exible mechanism to describe a hierarchical 3D scene as a collection of objects arranged into a graph structure, called Scene Graph. In addition to this module, AMAPmod includes a Viewer, which allow the user to examine the scenes he has created and to export them into various 3D ïŹle formats. This way it is possible to perform additional operations on the scenes such as ray tracing, walk through, hemispherical snapshots and so on. Although, this language has been designed to be used by non specialist and do not require strong backgrounds in 3D computer graphics, it is recommended to consult books introducing basic concepts on 3D graphics to have a better understanding. This document contains the following chapters: * The chapter 1 explains how to represent 3D scenes using AMAPmod. * The chapter 2 forms a reference to the GEOM's ïŹle formats. * The chapter 3 forms a reference to the objects available within the GEOM module

    Du gĂšne Ă  la fleur

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    National audienceAu-delà de l'expérimentation in vitro, l'expérimentation sur ordinateur devrait permettre de mieux comprendre les conditions de croissance des plantes

    Quantifying the degree of self-nestedness of trees. Application to the structural analysis of plants

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    17 pagesInternational audienceIn this paper we are interested in the problem of approximating trees by trees with a particular self-nested structure. Self-nested trees are such that all their subtrees of a given height are isomorphic. We show that these trees present remarkable compression properties, with high compression rates. In order to measure how far a tree is from being a self-nested tree, we then study how to quantify the degree of self-nestedness of any tree. For this, we deïŹne a measure of the self-nestedness of a tree by constructing a self-nested tree that minimizes the distance of the original tree to the set of self-nested trees that embed the initial tree. We show that this measure can be computed in polynomial time and depict the corresponding algorithm. The distance to this nearest embedding self-nested tree (NEST) is then used to deïŹne compression coefïŹcients that reïŹ‚ect the compressibility of a tree. To illustrate this approach, we then apply these notions to the analysis of plant branching structures. Based on a database of simulated theoretical plants in which different levels of noise have been introduced, we evaluate the method and show that the NESTs of such branching structures restore partly or completely the original, noiseless, branching structures. The whole approach is then applied to the analysis of a real plant (a rice panicle) whose topological structure was completely measured. We show that the NEST of this plant may be interpreted in biological terms and may be used to reveal important aspects of the plant growth
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