AbstractWe study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut problem, and the k-Cut problem, and 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
In this thesis, a number of optimization problems are presented from algorithmic graph theory. This ...
AbstractIn this paper, we define and study a natural generalization of the multicut and multiway cut...
We introduce cooperative cut, a minimum cut problem whose cost is a submodular function on sets of e...
We study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut problem...
We study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut problem...
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...
We introduce a problem we call Cooperative cut, where the goal is to find a minimum-cost graph cut b...
directed graph G = (V,E) with positive capacities ue on the edges, and a set K ⊆ V × V of ordered pa...
Generalizing the cost in the standard min-cut problem to a submodular cost function immediately make...
In this paper, we unify several graph partitioning problems including multicut, multiway cut, and k-...
In this thesis, a number of optimization problems are presented from algorithmic graph theory. This ...
AbstractIn this paper, we define and study a natural generalization of the multicut and multiway cut...
We introduce cooperative cut, a minimum cut problem whose cost is a submodular function on sets of e...
We study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut problem...
We study budgeted variants of classical cut problems: the Multiway Cut problem, the Multicut problem...
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...
We introduce a problem we call Cooperative cut, where the goal is to find a minimum-cost graph cut b...
directed graph G = (V,E) with positive capacities ue on the edges, and a set K ⊆ V × V of ordered pa...
Generalizing the cost in the standard min-cut problem to a submodular cost function immediately make...
In this paper, we unify several graph partitioning problems including multicut, multiway cut, and k-...
In this thesis, a number of optimization problems are presented from algorithmic graph theory. This ...
AbstractIn this paper, we define and study a natural generalization of the multicut and multiway cut...
We introduce cooperative cut, a minimum cut problem whose cost is a submodular function on sets of e...