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On a Problem of Summing Elements Chosen from the Family of Finite Numerical Sequences

机译:关于有限数值序列族选择元素求和的问题

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The tuple of permutations and the tuple of indices are required to be found in the problem considered in order to minimize the sum of elements chosen from the given family of finite numerical sequences subject to some constraints on the elements choice. Namely, given the family of L numerical nonnegative N-element sequences and a positive integer J, it is required to minimize the sum of J intra-sums. Each element corresponds to one element in one of L input sequences, and all possible L-permutations are admissible in this one-to-one correspondence in each intra-sum of L elements. In addition, there are some constraints on the indices of the summed sequence elements. The problem solution is a pair of tuples, namely, (1) a tuple of J permutations on L elements, and (2) a tuple of JL increasing indices. The paper presents an exact polynomial-time algorithm with O(N5) running time for this problem. In particular, the problem is induced by an applied problem of noiseproof searching for repetitions of the given tuple of elements with their possible permutations at each tuple repeat, and finding the positions of these elements in the numerical sequence distorted by noise under some constraints on unknown positions of elements. The applied problem noted is related, for example, to the remote monitoring of several moving objects with possible arbitrary displacements (permutations) of these objects.
机译:需要在所考虑的问题中找到排列的元组和索引的元组,以使从给定的有限数值序列族中选择的元素总和最小化,但要考虑元素选择的一些约束。即,给定L个数字非负N元素序列和正整数J的族,需要最小化J个帧内和的和。每个元素对应于L个输入序列之一中的一个元素,并且在L个元素的每个内部和中,所有可能的L排列都以这种一对一的对应关系是允许的。另外,对求和序列元素的索引有一些限制。问题解决方案是一对元组,即(1)L个元素上的J个排列的元组,以及(2)JL个递增索引的元组。针对此问题,本文提出了一种运行时间为O(N5)的精确多项式时间算法。尤其是,该问题是由以下应用噪声问题引起的:对给定元组元素的重复及其在每个元组重复处的可能排列的重复进行噪声搜索,并在未知数的某些约束下找到这些元素在噪声中扭曲的数字序列中的位置元素的位置。指出的应用问题例如涉及对几个运动对象的远程监视,这些对象可能有任意位移(排列)。

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