AbstractThis paper presents approximation algorithms for two extensions of the set cover problem: a graph-based extension known as the Max-Rep or Label-CoverMAXproblem, and a color-based extension known as the Red-Blue Set Cover problem. First, a randomized algorithm guaranteeing approximation ratio n with high probability is proposed for the Max-Rep (or Label-CoverMAX) problem, where n is the number of vertices in the graph. This algorithm is then generalized into a 4n-ratio algorithm for the nonuniform version of the problem. Secondly, it is shown that the Red-Blue Set Cover problem can be approximated with ratio 2nlogβ, where n is the number of sets and β is the number of blue elements. Both algorithms can be adapted to the weighted vari...
Vertex cover problem is a famous combinatorial problem and its complexity has been heavily studied o...
In this paper we study the capacitated vertex cover problem, a generalization of the well-known...
In this thesis we present sequential and distributed approximation algorithms for covering problems....
We consider the Max-Vertex-Cover (MVC) problem, i.e., nd k vertices from an undirected and edge-weig...
The worst-case fastest known algorithm for the Set Cover problem on universes with n elements still ...
An approximation result is given, connecting two well known combinatorial problems, the Set Cover an...
Abstract. Given a collection ^ of subsets of S 5 {1,..., n}, set cover is the problem of selecting a...
Abstract We present new combinatorial approximation algorithms for the k-set cover problem. Previous...
The worst-case fastest known algorithm for the Set Cover problem on universes with n elements still ...
AbstractSome open questions concerning the complexity of approximation algorithms for the Maximum In...
The worst-case fastest known algorithm for the Set Cover problem on universes with n elements still ...
The worst-case fastest known algorithm for the Set Cover problem on universes with n elements still ...
The worst-case fastest known algorithm for the Set Cover problem on universes with n elements still ...
The paper presents distributed and parallel δ-approximation algorithms for covering problems, where ...
The worst-case fastest known algorithm for the Set Cover problem on universes with $n$ elements stil...
Vertex cover problem is a famous combinatorial problem and its complexity has been heavily studied o...
In this paper we study the capacitated vertex cover problem, a generalization of the well-known...
In this thesis we present sequential and distributed approximation algorithms for covering problems....
We consider the Max-Vertex-Cover (MVC) problem, i.e., nd k vertices from an undirected and edge-weig...
The worst-case fastest known algorithm for the Set Cover problem on universes with n elements still ...
An approximation result is given, connecting two well known combinatorial problems, the Set Cover an...
Abstract. Given a collection ^ of subsets of S 5 {1,..., n}, set cover is the problem of selecting a...
Abstract We present new combinatorial approximation algorithms for the k-set cover problem. Previous...
The worst-case fastest known algorithm for the Set Cover problem on universes with n elements still ...
AbstractSome open questions concerning the complexity of approximation algorithms for the Maximum In...
The worst-case fastest known algorithm for the Set Cover problem on universes with n elements still ...
The worst-case fastest known algorithm for the Set Cover problem on universes with n elements still ...
The worst-case fastest known algorithm for the Set Cover problem on universes with n elements still ...
The paper presents distributed and parallel δ-approximation algorithms for covering problems, where ...
The worst-case fastest known algorithm for the Set Cover problem on universes with $n$ elements stil...
Vertex cover problem is a famous combinatorial problem and its complexity has been heavily studied o...
In this paper we study the capacitated vertex cover problem, a generalization of the well-known...
In this thesis we present sequential and distributed approximation algorithms for covering problems....