On a Synchronization Problem With Multiple Instances

D. Cornilly, Giovanni Puccetti, L. Rüschendorf, S. Vanduffel
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Abstract

We study a synchronization problem with multiple instances. First, we show that the problem we consider can be formulated as the problem of finding an intra-column rearrangement for multiple matrices (which reflect problem instances) such that the row sums across the various matrices show minimum variability. To obtain the optimal rearrangement, we introduce the Block Swapping Algorithm (BSA) and a further customization of it that we label as the Customized Block Swapping Algorithm (Cust BSA). A numerical study shows that the two algorithms we propose yield high-quality solutions and also deal efficiently with high-dimensional set-ups.
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关于多个实例的同步问题
研究了一个具有多实例的同步问题。首先,我们表明,我们考虑的问题可以公式化为寻找多个矩阵(反映问题实例)的列内重排的问题,以便跨各种矩阵的行和显示最小的可变性。为了获得最优的重排,我们引入了块交换算法(BSA),并对其进行了进一步的定制,我们称之为自定义块交换算法(Cust BSA)。数值研究表明,我们提出的两种算法都能得到高质量的解,并能有效地处理高维问题。
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