2007
DOI: 10.1016/j.ins.2007.05.034
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Linearly many faults in Cayley graphs generated by transposition trees

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Cited by 97 publications
(36 citation statements)
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“…Moreover, in each of these proofs induction on n is used. So it is natural to use double induction to prove our next result, first on k (strong form), then on n. Note that the proof is similar to the proof of the main result in [10]. Proof.…”
Section: Linearly Many Faultsmentioning
confidence: 91%
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“…Moreover, in each of these proofs induction on n is used. So it is natural to use double induction to prove our next result, first on k (strong form), then on n. Note that the proof is similar to the proof of the main result in [10]. Proof.…”
Section: Linearly Many Faultsmentioning
confidence: 91%
“…Many interconnection networks have been examined in this aspect, when the number of faults is about twice the smallest degree; see [4,5,8,10,21]. One can even go further and ask what happens when more, even linearly many vertices are deleted.…”
Section: Introductionmentioning
confidence: 99%
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“…If S n \F is not connected, then S n \F has two components, one of which has exactly one vertex, or has two vertices with an edge, in which F is the union of the neighbour sets of these two vertices excluding themselves. Cheng and Lipták [22] further generalized this result to star graphs with linearly many faults. Moreover, in terms of the size of connected components, Hsu et al [14] and Lin et al [13] also showed the conditional diagnosabilities for hypercube and star graphs, respectively.…”
Section: Introductionmentioning
confidence: 91%
“…vertices, see [9] for the details. The networks based on Cayley graphs generated by transpositions have many advantageous properties, see, for example, [2][3][4]9]. In particular, the star graphs as a network model received much attention, see [2][3][4]8,9,11] for the details.…”
Section: Introductionmentioning
confidence: 99%