This paper investigates how to partition the vertex set of an undirected weighted graph into two disjoint subsets, such that the total vertex-weights of the two ...
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Abstract—Graph partitioning has been widely applied in cloud computing, data centers, virtual machine scheduling, hardware/software co-design, ...
We present a bicriteria polynomial time approximation algorithm with an O(log2 n)-approximation for any constant ν > 1. For ν = 1 we show that no polytime ...
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There are two ways to partition a graph, by taking out edges, and by taking out vertices. Graph partitioning algorithms use either edge or vertex separators in ...
In this paper we consider the problem of (k, υ)-balanced graph partitioning - dividing the vertices of a graph into k almost equal size components.
In mathematics, a graph partition is the reduction of a graph to a smaller graph by partitioning its set of nodes into mutually exclusive groups.
In this paper, we propose a multi-objective and scalable Balanced GRAph Parti- tioning (B-GRAP) algorithm, based on Label Propagation (LP) approach, to produce.
We present algorithms for minimum coloring k-colorable graphs drawn from random and semi-random models. In the first model, each allowed edge is included with ...
Three types of approximation algorithms are known for k-balanced partitioning, and they all provide bi- criteria approximation. Formally, let a (k, ν)-balanced.
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This paper investigates how to partition the vertex set of an undirected weighted graph into two disjoint subsets, such that the total vertex-weights of the two ...