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The minimum weighted vertex cover (MWVC) problem, an extension of the classical minimum vertex cover (MVC) problem, is an important NP-complete combinatorial optimization problem with a wide range of applications.
We first present results on the complexity of the MWER optimization, and related minimum weighted vertex (SNP) removal (MWVR) problems on the compass graph G C. These results motivate the usage of our heuristics for the diploid and polyploid algorithms.
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The optimum solution would be obtained by removing a minimal weighted vertex cover from G q, r.
This algorithm serves as a procedure in designing a PTAS for weighted vertex ranking problem of trees with bounded weight functions.
Our approach is flexible enough and we demonstrate how it can be used to provide a (4,4) bi-criteria algorithm for the Minimum Weighted Bounded Degree version of the SND problem in which we have the standard SND connectivity constraints and, additionally, for every vertex v in the graph we have an upper bound on the sum of the weights of the edges incident to that edge in any feasible solution.
Minimum Weighted Edit-Distance.
A greedy algorithm, called GA, for the weighted vertex feedback set problem is also analyzed and bounds on its performance are given.
The algorithm is based on a reduction to the weighted vertex feedback set problem and a 2-approximation of the latter problem.
Since the weighted vertex cover problem is NP-complete we apply the 2-approximation given by Clarkson [ 24].
As shown previously (Xie and Bourne, 2008), a weighted scoring scheme as used by SOIPPA outperforms a non-weighted vertex matching method as used by most-existing algorithms.
The objective of the Weighted Coloring Problem [7] is, given a vertex-weighted graph (G), to determine the minimum weight of a proper coloring of (G), that is, its weighted chromatic number.
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