AbstractThe reliability of a network can be efficiently bounded using graph-theoretical techniques based on edge-packing. We examine the application of combinatorial theorems on edge-packing spanning trees, s, t-paths, and s, t-cuts to the determination of reliability bounds. The application of spanning trees has been studied by Polesskii, and the application of s, t-paths has been studied by Brecht and Colbourn. The use of edge-packings of s, t-cutsets has not been previously examined. We compare the resulting bounds with known bounds produced by different techniques, and establish that the edge-packing bounds often produce a substantial improvement. We also establish that three other edge-packing problems arising in reliability bounding a...
AbstractThis paper presents an algorithm for computing the K-terminal reliability of undirected netw...
Good treewidth lower bounds can be used in branch-and-bound methods. The better and faster the boun...
AbstractWe consider a probabilistic network in which the edges are perfectly reliable but the nodes ...
AbstractThe reliability of a network can be efficiently bounded using graph-theoretical techniques b...
In this thesis, we will study the concept of k-edge connected and k-connected reliability. There, ve...
The reliability polynomial R p of a collection of subsets of a finite set X has been extensively ...
Abstract. In this paper, we consider problems related to the network reliability problem restricted ...
International audienceWe model a communication system by a network, were the terminals are perfect b...
We consider the classic problem of NETWORK RELIABILITY. A network is given together with a source ve...
Abstract. Karger (SIAM Journal on Computing, 1999) developed the first fully-polynomial approximatio...
We consider the classic problem of Network Reliability. A network is given together with a source ve...
In the first part of this thesis we generalise the well-known K-terminal reliability R(G,K) to diffe...
Abstract. We give the first approximation algorithm for the generalized network Steiner problem, a p...
We give the first approximation algorithm for the generalized network Steiner problem, a problem in ...
Estimating the reliability of a computer network has been a subject of great interest. It is a well ...
AbstractThis paper presents an algorithm for computing the K-terminal reliability of undirected netw...
Good treewidth lower bounds can be used in branch-and-bound methods. The better and faster the boun...
AbstractWe consider a probabilistic network in which the edges are perfectly reliable but the nodes ...
AbstractThe reliability of a network can be efficiently bounded using graph-theoretical techniques b...
In this thesis, we will study the concept of k-edge connected and k-connected reliability. There, ve...
The reliability polynomial R p of a collection of subsets of a finite set X has been extensively ...
Abstract. In this paper, we consider problems related to the network reliability problem restricted ...
International audienceWe model a communication system by a network, were the terminals are perfect b...
We consider the classic problem of NETWORK RELIABILITY. A network is given together with a source ve...
Abstract. Karger (SIAM Journal on Computing, 1999) developed the first fully-polynomial approximatio...
We consider the classic problem of Network Reliability. A network is given together with a source ve...
In the first part of this thesis we generalise the well-known K-terminal reliability R(G,K) to diffe...
Abstract. We give the first approximation algorithm for the generalized network Steiner problem, a p...
We give the first approximation algorithm for the generalized network Steiner problem, a problem in ...
Estimating the reliability of a computer network has been a subject of great interest. It is a well ...
AbstractThis paper presents an algorithm for computing the K-terminal reliability of undirected netw...
Good treewidth lower bounds can be used in branch-and-bound methods. The better and faster the boun...
AbstractWe consider a probabilistic network in which the edges are perfectly reliable but the nodes ...