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Quadratic Integer Programming with Application to the Chaotic Mappings of Complete Multipartite Graphs
Authors:Fu  H. L.  Shiue  C. L.  Cheng  X.  Du  D. Z.  Kim  J. M.
Abstract:
Let agr be a permutation of the vertex set V(G) of a connected graph G. Define the total relative displacement of agr in G by be

$$delta _alpha (G) = mathop Sigma limits_{x,y in V(G)} |d_G (x,y) - d_G (alpha (x),alpha (y))|,$$
where dG(x, y) is the length of the shortest path between x and y in G. Let pgr*(G) be the maximum value of deltaagr(G) among all permutations of V(G). The permutation which realizes pgr*(G) is called a chaotic mapping of G. In this paper, we study the chaotic mappings of complete multipartite graphs. The problem is reduced to a quadratic integer programming problem. We characterize its optimal solution and present an algorithm running in 
$$O(n^5 log n)$$
time, where n is the total number of vertices in a complete multipartite graph.
Keywords:Chaotic mapping  complete multipartite graph  quadratic integer programming  optimal solution
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