1996
DOI: 10.1006/jagm.1996.0047
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Approximation Algorithms for Min-k-Overlap Problems Using the Principal Lattice of Partitions Approach

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Cited by 19 publications
(4 citation statements)
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“…This problem is similar to the MINIMUM k-VERTEX SHARING [21], where the objective is to minimize the number of nodes deleted to achieve a k-way partition. Here we are considering the complementary problem, where we know the number of vertices to be deleted and we try to maximize the number of components formed and implicitly limit the sizes of the components.…”
Section: Problem Definitionmentioning
confidence: 99%
“…This problem is similar to the MINIMUM k-VERTEX SHARING [21], where the objective is to minimize the number of nodes deleted to achieve a k-way partition. Here we are considering the complementary problem, where we know the number of vertices to be deleted and we try to maximize the number of components formed and implicitly limit the sizes of the components.…”
Section: Problem Definitionmentioning
confidence: 99%
“…With another method, when a hyperedge straddles p different subsets, the weight of that hyperedge is counted p -1 times. These cost functions are represented by cost 1 )-approximation algorithm have previously been obtained, respectively [66] (where d max is the maximum degree of a hyperedge).…”
Section: Application To Different Cost Functions In Hypergraphsmentioning
confidence: 99%
“…This article considers the critical infrastructure detection problem as follows: Given a telecommunication network with V facilities as nodes and an integer K, the objective is to find a set of K facilities (critical nodes) in this network whose failure results in the maximum network disruption and this problem can be considered as a special case of Minimum-Koverlap problem (Narayanan, Roy, & Patkar, 1996). With the notation of y i where y i is 1 if facility i is removed from the optimal infrastructure and 0 otherwise.…”
Section: Complex Network and Critical Infrastructure Detectionmentioning
confidence: 99%