The objective is to maximize the number of points covered by a set of selected objects from O. In the MDC problem we restrict the objects in are pairwise disjoint (non-intersecting). Whereas, in the MIC problem any pair of objects in should not share a point from P (however, they may intersect each other).
Feb 14, 2020
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Mar 6, 2019 · In this paper, we consider the Maximum Disjoint Coverage (MDC) and Maximum Independent coverage (MIC) problems. For both problems, we ...
In this paper, we target two interesting variations of this problem in a geometric setting: (i) maximum disjoint coverage (MDC), and (ii) maximum independent ...
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Oct 22, 2024 · In this paper, we target two interesting variations of this problem in a geometric setting: (i) maximum disjoint coverage (MDC), and (ii) ...
In computational geometry, a maximum disjoint set (MDS) is a largest set of non-overlapping geometric shapes selected from a given set of candidate shapes.
Feb 12, 2013 · For every α-critical graph G without isolated vertices, for every maximum independent set S in G, there is a maximum independent set S′ in G that is disjoint ...
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Feb 14, 2020 · In this paper, we target two interesting variations of this problem in a geometric setting: (i) maximum disjoint coverage (MDC), and (ii) ...
For any positive α, if the size α(G) of a maximum independent set in an n-vertex graph G is at least αn, then h(G) = o(n). They formulated the conjectures for ...
In graph theory, a maximal independent set (MIS) or maximal stable set is an independent set that is not a subset of any other independent set.