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arXiv 1702.00205math.COcs.DM
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加权图的分解

Decomposing Weighted Graphs

Amir Ban

摘要:

我们解决了以下问题:一个无向赋权图G能否被划分为两个非空的诱导子图,使每个子图顶点的边权和满足最小约束?我们证明了这是可能的,对于所有的约束a(x),b(x)满足d_G(x)>= a(x)+ b(x)+ 2W_G(x),对于每个顶点x,其中d_G(x),W_G(x)分别是关联边权的和最大值.

英文摘要:

We solve the following problem: Can an undirected weighted graph G be parti- tioned into two non-empty induced subgraphs satisfying minimum constraints for the sum of edge weights at vertices of each subgraph? We show that this is possible for all constraints a(x), b(x) satisfying d_G(x) >= a(x) + b(x) + 2W_G(x), for every vertex x, where d_G(x), W_G(x) are, respectively, the sum and maximum of incident edge weights.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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