A new combinatorial structure, the semicut in a graph, is defined as a generalization of a cut. Extreme semicuts are shown to be associated with the vertices of the rooted semimetric polytope. Such a polytope provides a linear relaxation of the cut polytope whose integer points correspond to all the cuts of a graph. Thus, optimizing over the set of all semicuts yields an upper bound for the maximum weight cut problem. An efficient combinatorial algorithm that finds an optimal semicut is described. Such an algorithm is based on the computation of a fractional bidirected flow
For a graph G, let f(G) denote the size of the maximum cut in G. The problem of estimating f(G) as a...
In this paper we summarize recent results on finding tight semidefinite programming relaxations for ...
In this paper we analyze a known relaxation for the Sparsest Cut problem based on positive semidefin...
We present a method for finding exact solutions of Max-Cut, the prob-lem of finding a cut of maximum...
The Max-Cut problem is a classical NP-hard combinatorial optimization problem. It consists of dividi...
The semimetric polytope is an important polyhedral structure lying at the heart of hard combinatoria...
The max-cut problem is a fundamental and much-studied NP-hard combinatorial optimisation problem, wi...
Polyhedral cutting-plane algorithms for hard combinatorial problems have scored notable successes. H...
We discuss the use of semidefinite programming for combinatorial optimization problems. The main top...
We present an improved algorithm for finding exact solutions to Max-Cut and the related binary quadr...
We study the multicut and the sparsest cut problems in directed graphs. In the multicut problem, we ...
Since the early 1960s, polyhedral methods have played a central role in both the theory and practice...
International audienceWe consider the Max-Cut problem on an undirected graph G = (V, E) with |V | = ...
This work was partially supported by EEC Contract SC1-CT-91-0620. In this paper we describe a cuttin...
Abstract. The max-cut and stable set problems are two fundamental NP-hard problems in combinatorial ...
For a graph G, let f(G) denote the size of the maximum cut in G. The problem of estimating f(G) as a...
In this paper we summarize recent results on finding tight semidefinite programming relaxations for ...
In this paper we analyze a known relaxation for the Sparsest Cut problem based on positive semidefin...
We present a method for finding exact solutions of Max-Cut, the prob-lem of finding a cut of maximum...
The Max-Cut problem is a classical NP-hard combinatorial optimization problem. It consists of dividi...
The semimetric polytope is an important polyhedral structure lying at the heart of hard combinatoria...
The max-cut problem is a fundamental and much-studied NP-hard combinatorial optimisation problem, wi...
Polyhedral cutting-plane algorithms for hard combinatorial problems have scored notable successes. H...
We discuss the use of semidefinite programming for combinatorial optimization problems. The main top...
We present an improved algorithm for finding exact solutions to Max-Cut and the related binary quadr...
We study the multicut and the sparsest cut problems in directed graphs. In the multicut problem, we ...
Since the early 1960s, polyhedral methods have played a central role in both the theory and practice...
International audienceWe consider the Max-Cut problem on an undirected graph G = (V, E) with |V | = ...
This work was partially supported by EEC Contract SC1-CT-91-0620. In this paper we describe a cuttin...
Abstract. The max-cut and stable set problems are two fundamental NP-hard problems in combinatorial ...
For a graph G, let f(G) denote the size of the maximum cut in G. The problem of estimating f(G) as a...
In this paper we summarize recent results on finding tight semidefinite programming relaxations for ...
In this paper we analyze a known relaxation for the Sparsest Cut problem based on positive semidefin...