AbstractThis paper presents an algorithm for computing the K-terminal reliability of undirected networks, i.e. the probability that a given set of vertices in the network are connected, when edges and nodes fail independently with known probabilities. This algorithm is based on a decomposition method introduced by Rosenthal. It consists in numbering the vertices of the graph so that the successive boundary sets are as small as possible and in evaluating the probabilities of appropriate classes of boundary sets. We show that for the all terminal reliability problem these classes are the partitions of the boundary sets and we describe them for the general problem. Our computational results are so conclusive that networks much larger than thos...
The classic all-terminal network reliability problem posits a graph, each of whose edges fails indep...
We give a fully polynomial-time randomized approximation scheme (FPRAS) for the all-terminal network...
Abstract. Let G (V, E) be a graph whose edges may fail with known probabilities and let K _ V be spe...
AbstractThis paper presents an algorithm for computing the K-terminal reliability of undirected netw...
AbstractThe all-terminal reliability and K-terminal reliability of networks are often considered as ...
Let G = (V,E) be an undirected graph whose edges may fail, and let G, denote G with a set K V speci...
In the first part of this thesis we generalise the well-known K-terminal reliability R(G,K) to diffe...
Let G = (V,E) be an undirected graph whose edges may fail, and let G, denote G with a set K V speci...
We combine the Augmented Ordered Binary Decision Diagram (OBDD-A) with the use of boundary sets to c...
An efficient algorithm is presented for computing exact system and survival signatures of K-terminal...
An efficient algorithm is presented for computing exact system and survival signatures of K-terminal...
A Comparison between Two All-Terminal Reliability AlgorithmsTwo algorithms computing the ...
The classic all-terminal network reliability problem posits a graph, each of whose edges fails indep...
AbstractWe consider a probabilistic network in which the edges are perfectly reliable but the nodes ...
The classic all-terminal network reliability problem posits a graph, each of whose edges fails indep...
The classic all-terminal network reliability problem posits a graph, each of whose edges fails indep...
We give a fully polynomial-time randomized approximation scheme (FPRAS) for the all-terminal network...
Abstract. Let G (V, E) be a graph whose edges may fail with known probabilities and let K _ V be spe...
AbstractThis paper presents an algorithm for computing the K-terminal reliability of undirected netw...
AbstractThe all-terminal reliability and K-terminal reliability of networks are often considered as ...
Let G = (V,E) be an undirected graph whose edges may fail, and let G, denote G with a set K V speci...
In the first part of this thesis we generalise the well-known K-terminal reliability R(G,K) to diffe...
Let G = (V,E) be an undirected graph whose edges may fail, and let G, denote G with a set K V speci...
We combine the Augmented Ordered Binary Decision Diagram (OBDD-A) with the use of boundary sets to c...
An efficient algorithm is presented for computing exact system and survival signatures of K-terminal...
An efficient algorithm is presented for computing exact system and survival signatures of K-terminal...
A Comparison between Two All-Terminal Reliability AlgorithmsTwo algorithms computing the ...
The classic all-terminal network reliability problem posits a graph, each of whose edges fails indep...
AbstractWe consider a probabilistic network in which the edges are perfectly reliable but the nodes ...
The classic all-terminal network reliability problem posits a graph, each of whose edges fails indep...
The classic all-terminal network reliability problem posits a graph, each of whose edges fails indep...
We give a fully polynomial-time randomized approximation scheme (FPRAS) for the all-terminal network...
Abstract. Let G (V, E) be a graph whose edges may fail with known probabilities and let K _ V be spe...