Computer Science – Computational Complexity
Scientific paper
2010-09-03
Computer Science
Computational Complexity
Scientific paper
This paper is aimed to investigate some computational aspects of different isoperimetric problems on weighted trees. In this regard, we consider different connectivity parameters called {\it minimum normalized cuts}/{\it isoperimteric numbers} defined through taking minimum of the maximum or the mean of the normalized outgoing flows from a set of subdomains of vertices, where these subdomains constitute a {\it partition}/{\it subpartition}. Following the main result of [A. Daneshgar, {\it et. al.}, {\it On the isoperimetric spectrum of graphs and its approximations}, JCTB, (2010)], it is known that the isoperimetric number and the minimum normalized cut both can be described as $\{0,1\}$-optimization programs, where the latter one does {\it not} admit a relaxation to the reals. We show that the decision problem for the case of taking $k$-partitions and the maximum (called the max normalized cut problem {\rm NCP}$^M$) as well as the other two decision problems for the mean version (referred to as {\rm IPP}$^m$ and {\rm NCP}$^m$) are $NP$-complete problems. On the other hand, we show that the decision problem for the case of taking $k$-subpartitions and the maximum (called the max isoperimetric problem {\rm IPP}$^M$) can be solved in {\it linear time} for any weighted tree and any $k \geq 2$. Based on this fact, we provide polynomial time $O(k)$-approximation algorithms for all different versions of $k$th isoperimetric numbers considered. Moreover, when the number of partitions/subpartitions, $k$, is a fixed constant, as an extension of a result of B. Mohar (1989) for the case $k=2$ (usually referred to as the Cheeger constant), we prove that max and mean isoperimetric numbers of weighted trees as well as their max normalized cut can be computed in polynomial time. We also prove some hardness results for the case of simple unweighted graphs and trees.
Daneshgar Amir
Javadi Ramin
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