1994
DOI: 10.1006/inco.1994.1064
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The Vertex Separation and Search Number of a Graph

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Cited by 195 publications
(150 citation statements)
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References 18 publications
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“…The linear-time algorithm for computing the path-width of trees (and hence their linear rank-width by [1]) is based on the following characterization. Proposition 3.1 (Ellis, Sudborough, and Turner [13]). A tree T has path-width at most k if and only if for every vertex v of T at most two components of T zv have path-width at most k, and all the other components have path-width at most k´1.…”
Section: Limbs In Canonical Decompositionsmentioning
confidence: 99%
See 1 more Smart Citation
“…The linear-time algorithm for computing the path-width of trees (and hence their linear rank-width by [1]) is based on the following characterization. Proposition 3.1 (Ellis, Sudborough, and Turner [13]). A tree T has path-width at most k if and only if for every vertex v of T at most two components of T zv have path-width at most k, and all the other components have path-width at most k´1.…”
Section: Limbs In Canonical Decompositionsmentioning
confidence: 99%
“…While a similar idea has been exploited in [1,13,26] for other parameters, here we encounter a new problem. When we take a subgraph of a given split decomposition, the obtained split decomposition may have vertices that do not represent vertices of the original graph.…”
Section: Introductionmentioning
confidence: 99%
“…According to [34], if the problem of checking whether p(G) ≤ k is NP-complete, then |O ≤m p,k | is a super-polynomial function of k, unless the polynomial hierarchy collapses to Σ P 3 . Characterizations of p(G) ≤ k (yielding better lower bounds for |O ≤m p,k |) have been provided for several parameters [10,20,40,58,84,98,99,115,117,118]. However, to our knowledge, there is not yet a natural parameter p for which a complete characterization of O ≤m p,k is known.…”
Section: Minor-closed Graph Parametersmentioning
confidence: 99%
“…Originally, the decontamination problem has been introduced in [7,17] and has been extensively studied in the literature under the term graph search (e.g., see [10,[14][15][16]18]). The difference with the CMD problem is that searchers do not necessarily move in a connected way, i.e., may 'jump' from one node to another.…”
Section: Upgrading Vs Decontaminatingmentioning
confidence: 99%