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Parallel algorithms are developed in the setting of iterative multilevel methods. The constituent parts of the algorithms are dependent rather than independent as in conventional parallel algorithms. We develop cases and conditions wherein this dependence generates a constructive interference in the computation. The resulting parallel algorithms can then be more efficient than serial counterparts.
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Douglas et al. (1988) studied this question.
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