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Efficient Partitioning of Sequences
November 1995 (vol. 44 no. 11)
pp. 1322-1326

Abstract—We consider the problem of partitioning a sequence of n real numbers into p intervals such that the cost of the most expensive interval, measured with a cost function f is minimized. This problem is of importance for the scheduling of jobs both in parallel and pipelined environments. We develop a straightforward and practical dynamic programming algorithm that solves this problem in time O(p(np)), which is an improvement of a factor of log p compared to the previous best algorithm. A number of variants of the problem are also considered.

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Index Terms:
Partitioning, dynamic programming, the MinMax problem, parallel processing, multiple regression.
Citation:
Fredrik Manne, Bjørn Olstad, "Efficient Partitioning of Sequences," IEEE Transactions on Computers, vol. 44, no. 11, pp. 1322-1326, Nov. 1995, doi:10.1109/12.475128
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