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Max-min weight balanced connected partition

Lele Wang, Zhao Zhang (), Di Wu, Weili Wu and Lidan Fan

Journal of Global Optimization, 2013, vol. 57, issue 4, 1263-1275

Abstract: For a connected graph $$G=(V,E)$$ and a positive integral vertex weight function $$w$$ , a max-min weight balanced connected $$k$$ -partition of $$G$$ , denoted as $$BCP_k$$ , is a partition of $$V$$ into $$k$$ disjoint vertex subsets $$(V_1,V_2,\ldots ,V_k)$$ such that each $$G[V_i]$$ (the subgraph of $$G$$ induced by $$V_i$$ ) is connected, and $$\min _{1\le i\le k}\{w(V_i)\}$$ is maximum. Such a problem has a lot of applications in image processing and clustering, and was proved to be NP-hard. In this paper, we study $$BCP_k$$ on a special class of graphs: trapezoid graphs whose maximum degree is bounded by a constant. A pseudo-polynomial time algorithm is given, based on which an FPTAS is obtained for $$k=2,3,4$$ . A step-stone for the analysis of the FPTAS depends on a lower bound for the optimal value of $$BCP_k$$ in terms of the total weight of the graph. In providing such a lower bound, a byproduct of this paper is that any 4-connected trapezoid graph on at least seven vertices has a 4-contractible edge, which may have a value in its own right. Copyright Springer Science+Business Media New York 2013

Keywords: Balanced connected partition; Pseudo-polynomial time algorithm; FPTAS (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s10898-012-0028-8

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