We study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut problem, and the k-Cut problem, arid provide approximation algorithms for these problems. Specifically, for the budgeted multiway cut and the k-cut problems we provide constant factor approximation algorithms. We show that the budgeted multicut problem is at least as hard to approximate as the sparsest cut problem, and we provide a bi-criteria approximation algorithm for it. © Springer-Verlag Berlin Heidelberg 2006
We study the k-multicut problem: Given an edgeweighted undirected graph, a set of l pairs of vertice...
The Multicut problem is defined as follows: given a graph G and a collection of pairs of distinct v...
In this paper, we unify several graph partitioning problems including multicut, multiway cut, and k-...
We study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut problem...
AbstractWe study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut...
Graph cut algorithms are an important tool for solving optimization problems in a variety of areas i...
Given an undirected graph with edge costs and a subset of k nodes called terminals, a multiway cut i...
AbstractGiven an undirected graph with edge costs and a subset of k nodes called terminals, a multiw...
We study the multicut and the sparsest cut problems in directed graphs. In the multicut problem, we ...
Graph cut algorithms are an important tool for solving optimization problems in a variety of areas i...
We study the k-multicut problem: Given an edge-weighted undirected graph, a set of l pairs of vertic...
directed graph G = (V,E) with positive capacities ue on the edges, and a set K ⊆ V × V of ordered pa...
In this thesis, a number of optimization problems are presented from algorithmic graph theory. This ...
We study the multicut and the sparsest cut problems in directed graphs. In the multicut problem, we ...
AbstractIn this paper, we define and study a natural generalization of the multicut and multiway cut...
We study the k-multicut problem: Given an edgeweighted undirected graph, a set of l pairs of vertice...
The Multicut problem is defined as follows: given a graph G and a collection of pairs of distinct v...
In this paper, we unify several graph partitioning problems including multicut, multiway cut, and k-...
We study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut problem...
AbstractWe study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut...
Graph cut algorithms are an important tool for solving optimization problems in a variety of areas i...
Given an undirected graph with edge costs and a subset of k nodes called terminals, a multiway cut i...
AbstractGiven an undirected graph with edge costs and a subset of k nodes called terminals, a multiw...
We study the multicut and the sparsest cut problems in directed graphs. In the multicut problem, we ...
Graph cut algorithms are an important tool for solving optimization problems in a variety of areas i...
We study the k-multicut problem: Given an edge-weighted undirected graph, a set of l pairs of vertic...
directed graph G = (V,E) with positive capacities ue on the edges, and a set K ⊆ V × V of ordered pa...
In this thesis, a number of optimization problems are presented from algorithmic graph theory. This ...
We study the multicut and the sparsest cut problems in directed graphs. In the multicut problem, we ...
AbstractIn this paper, we define and study a natural generalization of the multicut and multiway cut...
We study the k-multicut problem: Given an edgeweighted undirected graph, a set of l pairs of vertice...
The Multicut problem is defined as follows: given a graph G and a collection of pairs of distinct v...
In this paper, we unify several graph partitioning problems including multicut, multiway cut, and k-...