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On the Matrix Median Problem

机译:关于矩阵中位数问题

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The Genome Median Problem is an important problem in phy-logenetic reconstruction under rearrangement models. It can be stated as follows: given three genomes, find a fourth that minimizes the sum of the pairwise rearrangement distances between it and the three input genomes. Recently, Feijao and Meidanis extended the algebraic theory for genome rearrangement to allow for linear chromosomes, thus yielding a new rearrangement model (the algebraic model), very close to the celebrated DCJ model. In this paper, we study the genome median problem under the algebraic model, whose complexity is currently open, proposing a more general form of the problem, the matrix median problem. It is known that, for any metric distance, at least one of the corners is a 3/4-approximation of the median. Our results allow us to compute up to three additional matrix median candidates, all of them with approximation ratios at least as good as the best corner, when the input matrices come from genomes. From the application point of view, it is usually more interesting to locate medians farther from the corners. We also show a fourth median candidate that gives better results in cases we tried. However, we do not have proven bounds for this fourth candidate yet.
机译:基因组中值问题是在重排模型下的植系重建中的重要问题。可以这样说:给定三个基因组,找到第四个使它与三个输入基因组之间的成对重排距离的总和最小。最近,Feijao和Meidanis扩展了用于基因组重排的代数理论以允许线性染色体,从而产生了一个非常接近著名的DCJ模型的新重排模型(代数模型)。在本文中,我们研究了代数模型下的基因组中位数问题,该模型的复杂性目前尚不明确,提出了该问题的更一般形式,即矩阵中位数问题。众所周知,对于任何公制距离,至少一个角是中值的3/4近似值。我们的结果使我们能够计算多达三个额外的矩阵中值候选者,当输入矩阵来自基因组时,所有候选者的近似率至少与最佳拐角一样好。从应用程序的角度来看,将中间值放置在离拐角更远的位置通常会更有趣。我们还显示了第四个中值候选对象,在我们尝试过的情况下可以提供更好的结果。但是,我们还没有证明第四个候选人的界限。

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