1994
DOI: 10.1016/0026-2714(94)90095-7
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Enumeration of node cutsets for an s-t network

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Cited by 11 publications
(9 citation statements)
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“…This section will present the Singh B. [13] algorithm that finds all the minimal nodes cutsets in a graph, and all the steps of the algorithm. The algorithm at the first step accept as inputs the incidence matrix of the graph (I), and a set of nodes (Pm) that contain all the nodes in the shortest minimal path, except two, the source and terminal nodes.…”
Section: Sing B Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…This section will present the Singh B. [13] algorithm that finds all the minimal nodes cutsets in a graph, and all the steps of the algorithm. The algorithm at the first step accept as inputs the incidence matrix of the graph (I), and a set of nodes (Pm) that contain all the nodes in the shortest minimal path, except two, the source and terminal nodes.…”
Section: Sing B Algorithmmentioning
confidence: 99%
“…Few of the methods consider that the nodes are unreliable and the edges are perfectly reliable as Singh B. [13] , Prasad VC, Sankar V, Prasaka Rao KS [11] and Prasad VC [12].…”
Section: Introductionmentioning
confidence: 99%
“…In any of the above cases, the main objective is to define the minimum efficiency or inefficiency paths (minimal cut set) between the source (s-source) and each consumer (t-sink node). A number of algorithms based on graph theory [5,14,17,18] have been developed to solve this problem. Zhibin [19] suggested the development of these methods.…”
Section: Introductionmentioning
confidence: 99%
“…Considering properties of each of the aforementioned cases, the estimation methods of water delivery certainty are mainly focused on defining minimal cut sets in s-t networks (ssource, t -sink node). There is a range of algorithms to define minimal cut sets, and they are mainly based on graph theory [12]- [15]. An interesting suggestion of such an algorithm was put forward by Zhibin [16].…”
Section: Introductionmentioning
confidence: 99%