1977
DOI: 10.1002/nav.3800240203
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A node covering algorithm

Abstract: This paper describes a node covering algorithm, i.e., a procedure for finding :I smallest set of nodes covering all edges of an arbitrary graph. The algorithm i.; based on the concept of a dual node-clique set, which allows us to identify partial covers associated with int.egw dual feasible solutions to the linear progr:utlminp equivalent of the node covering problem. An initial partid cover with the above property is first found by a labeling procedure. Another labeling procedure then successively modifies th… Show more

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Cited by 19 publications
(3 citation statements)
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“…The exact cover complication, although well-known among general practitioners, has not been directly addressed in the literature. Several exact cover algorithms have been published for arbitrary graphs, but the algorithm selected for use with MOSDAP is due to Frenz and Kreher . A straightforward description of the updated procedure, pseudocode illustration of the algorithm, and example are presented by Kreher .…”
Section: Mosdap Modular Operationsmentioning
confidence: 99%
“…The exact cover complication, although well-known among general practitioners, has not been directly addressed in the literature. Several exact cover algorithms have been published for arbitrary graphs, but the algorithm selected for use with MOSDAP is due to Frenz and Kreher . A straightforward description of the updated procedure, pseudocode illustration of the algorithm, and example are presented by Kreher .…”
Section: Mosdap Modular Operationsmentioning
confidence: 99%
“…For some previous efforts in finding a clique of maximal cardinality or enumerating all cliques concerning the general case see Bron, Kerbosch [4], Nemhauser, Trotter [18], Balas, Samuelsson [2], Tarjan, Trojanowski [20], Gerhards, Lindenberg [10], Loukakis, Tsouros [15]. Recently, Friden, Hertz and de Werra [5] developed an algorithm called TABARIS which produces a maximum independent set using tabu search techniques.…”
Section: Introductionmentioning
confidence: 97%
“…Since a clique is an independent set in the complement of a graph, the literature on the maximum weighted clique is equally relevant. Various solution approaches have been tried, including implicit enumeration [6], integer programming with branch and bound [3,4], and integer programming with cutting planes [2,15]. In addition, a number of heuristics have been developed [16] and combined with general heuristic methods such as simulated annealing [8].…”
Section: Solving the Maximum Weighted Independent Set Problemmentioning
confidence: 99%