5 research outputs found

    Coloring, location and domination of corona graphs

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    A vertex coloring of a graph GG is an assignment of colors to the vertices of GG such that every two adjacent vertices of GG have different colors. A coloring related property of a graphs is also an assignment of colors or labels to the vertices of a graph, in which the process of labeling is done according to an extra condition. A set SS of vertices of a graph GG is a dominating set in GG if every vertex outside of SS is adjacent to at least one vertex belonging to SS. A domination parameter of GG is related to those structures of a graph satisfying some domination property together with other conditions on the vertices of GG. In this article we study several mathematical properties related to coloring, domination and location of corona graphs. We investigate the distance-kk colorings of corona graphs. Particularly, we obtain tight bounds for the distance-2 chromatic number and distance-3 chromatic number of corona graphs, throughout some relationships between the distance-kk chromatic number of corona graphs and the distance-kk chromatic number of its factors. Moreover, we give the exact value of the distance-kk chromatic number of the corona of a path and an arbitrary graph. On the other hand, we obtain bounds for the Roman dominating number and the locating-domination number of corona graphs. We give closed formulaes for the kk-domination number, the distance-kk domination number, the independence domination number, the domatic number and the idomatic number of corona graphs.Comment: 18 page

    A Unified Framework for Integer Programming Formulation of Graph Matching Problems

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    Graph theory has been a powerful tool in solving difficult and complex problems arising in all disciplines. In particular, graph matching is a classical problem in pattern analysis with enormous applications. Many graph problems have been formulated as a mathematical program then solved using exact, heuristic and/or approximated-guaranteed procedures. On the other hand, graph theory has been a powerful tool in visualizing and understanding of complex mathematical programming problems, especially integer programs. Formulating a graph problem as a natural integer program (IP) is often a challenging task. However, an IP formulation of the problem has many advantages. Several researchers have noted the need for natural IP formulation of graph theoretic problems. The aim of the present study is to provide a unified framework for IP formulation of graph matching problems. Although there are many surveys on graph matching problems, however, none is concerned with IP formulation. This paper is the first to provide a comprehensive IP formulation for such problems. The framework includes variety of graph optimization problems in the literature. While these problems have been studied by different research communities, however, the framework presented here helps to bring efforts from different disciplines to tackle such diverse and complex problems. We hope the present study can significantly help to simplify some of difficult problems arising in practice, especially in pattern analysis

    On the profile of the corona of two graphs

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    The concept of profile, together with bandwidth, originates from handling sparse matrices in solving linear systems of equations. Given a graph G, the profile minimization problem is to find a one-to-one mapping f :V (G)→{1, 2, . . . , |V (G)|} such that Σv∈V(G) max x∈N[v](f (v) − f (x)) is as small as possible, where N[v] = {v} ∪ {x: x is adjacent to v}. This paper studies the profile of the corona G∧H of two graphs G & H. In particular, bounds for the profile of the corona of two graphs are established. Also, exact values of the profiles of coronas G∧H are obtained when G has certain properties, including when G is a caterpillar, a complete graph or a cycle
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