Algorithms for the problem of K maximum sums and a VLSI algorithm for the K maximum subarrays problem

Sung Eun Bae, T. Takaoka
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引用次数: 46

Abstract

Given an array of positive and negative values, we consider the problem of K maximum sums. When an overlapping property needs to be observed, previous algorithms for the maximum sum are not directly applicable. We designed an O(K * n) algorithm for the K maximum subsequences problem. This was then modified to solve the K maximum subarrays problem in O(K * n/sup 3/) time. Finally, we present a VLSI K maximum subarrays algorithm with O(K * n) steps and a circuit size of O(n/sup 2/), which is cost-optimal in parallelisation of the sequential algorithm.
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K最大和问题的算法和K最大子阵列问题的VLSI算法
给定一个正负数组,我们考虑K个最大和的问题。当需要观察重叠属性时,先前的最大和算法不能直接适用。我们设计了一个O(K * n)算法来解决K个最大子序列问题。然后将其修改为在O(K * n/sup 3/)时间内解决K最大子数组问题。最后,我们提出了一种具有O(K * n)步长和O(n/sup 2/)电路大小的VLSI K最大子阵列算法,该算法在串行算法的并行化方面是成本最优的。
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