2001
DOI: 10.1006/jagm.2001.1187
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z-Approximations

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Cited by 57 publications
(61 citation statements)
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“…For this special case of the COLOR SAVING PROBLEM with a single weight there are approximation algorithms that guarantee at least 1 [8] of the maximum possible saving. It has been observed in [10] that the same bounds also apply to the more general problem of packingsets in an independent system. (Only [14] specifically uses the structure of the node coloring problem in a graph.)…”
Section: Introductionmentioning
confidence: 75%
“…For this special case of the COLOR SAVING PROBLEM with a single weight there are approximation algorithms that guarantee at least 1 [8] of the maximum possible saving. It has been observed in [10] that the same bounds also apply to the more general problem of packingsets in an independent system. (Only [14] specifically uses the structure of the node coloring problem in a graph.)…”
Section: Introductionmentioning
confidence: 75%
“…Worst solution for minimum graph-coloring consists of giving to each vertex of the input graph an unused color ( [11,12,14,15]). For probabilistic coloring, the value ω(G) of such solution is equal to v i ∈V p i .…”
Section: Differential Approximationmentioning
confidence: 99%
“…The approximation ratio of a solution for complementary set cover can be thought of as comparing the "distance" of a solution for set cover from the worst possible solution (i.e., the one that uses n sets to cover the elements) to the distance of the best solution of the worst possible one. This yields an alternative performance measure for the analysis of approximation algorithms; such measures have been considered for many combinatorial optimization problems in the context of differential approximation algorithms [10,9] or z-approximations [16] (see also [3,4]). Duh and Fürer [11] also consider the application of their algorithm on instances of complementary set cover in which the collection of sets is not given explicitly.…”
Section: Introductionmentioning
confidence: 99%