Abstract

We consider a hierarchical optimization problem for imprecise computation tasks, where each task is weighted with two weights, w and w'. The primary criterion is to minimize the total w-weighted error of all optional parts of tasks and the secondary criterion is to minimize the maximum w'-weighted error. An algorithm is given with time complexity O(kn3 log 2 n) for parallel and identical processors and O(kn2) for a single processor, where k is the number of distinct w-weights.

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