2004
DOI: 10.1007/978-3-540-28629-5_21
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Generating Paths and Cuts in Multi-pole (Di)graphs

Abstract: Abstract. Let G = (V, E) be a (directed) graph with vertex set V and edge (arc) set E. Given a set P of (source-sink) pairs of vertices of G, an important problem that arises in the computation of network reliability is the enumeration of minimal subsets of edges (arcs) that connect/disconnect all/at least one of the given source-sink pairs of P. For undirected graphs, we show that the enumeration problems for conjunctions of paths and disjunctions of cuts can be solved in incremental polynomial time. For dire… Show more

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Cited by 6 publications
(3 citation statements)
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“…As shown in [1] path conjunctions can be generated in incremental polynomial time. Here we show that the X − e + Y method provides a simple alternative algorithm.…”
Section: Proposition 8 Assume That There Is a Procedures That Outputs mentioning
confidence: 99%
“…As shown in [1] path conjunctions can be generated in incremental polynomial time. Here we show that the X − e + Y method provides a simple alternative algorithm.…”
Section: Proposition 8 Assume That There Is a Procedures That Outputs mentioning
confidence: 99%
“…As an illustration for the X−e+Y method, consider the path conjunction problem [3]: given an undirected graph G = (V, E) and a collection of k vertex pairs s i , t i ∈ V , enumerate all minimal edge sets X ⊆ E such that for all i = 1, . .…”
Section: Proposition 3 For Any Monotone Boolean Function π : 2 E → {mentioning
confidence: 99%
“…Hence the X − e + Y method reduces the path conjunction enumeration problem to the enumeration of all u-v paths in G , which can be done via backtracking [8] incrementally efficiently. Thus by Proposition 4 enumerating all minimal path conjunctions can be done in incremental polynomial time [3].…”
Section: Proposition 3 For Any Monotone Boolean Function π : 2 E → {mentioning
confidence: 99%