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Efficient Algorithm For L(3, 2, 1)-Labeling of Cartesian Product Between Some Graphs

机译:L(3,2,1)的高效算法 - 标记笛卡尔产品在某种图形之间

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L(h, k) Labeling in graph came into existence as a solution to frequency assignment problem. To reduce interference a frequency in the form of non negative integers is assigned to each radio or TV transmitters located at various places. After L(h, k) labeling, L(h, k, j) labeling is introduced to reduce noise in the communication network. We investigated the graph obtained by Cartesian Product between Complete Bipartite Graph with Path and Cycle, i. e., K_(m,n) × P_r and K_(m,n) × C_r by applying L(3, 2, 1) Labeling. The L(3, 2, 1) Labeling of a graph G is the difference between the highest and the lowest labels used in L(3, 2, 1) and is denoted by λ_(3,2,1)(G) In this paper we have designed three suitable algorithms to label the graphs K_(m,n) × P_r and K_(m.n) × C_r. We have also analyzed the time complexity of each algorithm with illustration.
机译:L(h,k)图中标记为频率分配问题的解决方案。 为了减少非负整数形式的干扰,分配给位于各个地方的每个无线电或电视发射器的频率。 在L(H,K)标记之后,引入L(H,K,J)标记以降低通信网络中的噪声。 我们调查了通过路径和循环的完整二角形图之间由笛卡尔产品获得的图表,i。 即通过施加L(3,2,1)标记,k_(m,n)×p_r和k_(m,n)×c_r。 图G的L(3,2,1)标记是L(3,2,1)中使用的最高和最低标记之间的差异,并且由λ_(3,2,1)(g)表示 本文我们设计了三种合适的算法来标记图形k_(m,n)×p_r和k_(mn)×c_r。 我们还分析了每种算法的时间复杂性。

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