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A Statistical Analysis of Bubble Sort in terms of Serial and Parallel Computation

机译:基于串行和并行计算的冒泡排序统计分析

摘要

In some recent papers, the weight based statistical bounds haveudarguably explained time complexity better than the count basedudmathematical bounds. This is definitely true for average caseudwhere for an arbitrary code it is difficult to identify the pivotaludoperation or pivotal region in the code for taking the expectationudand/or when the probability distribution, over which expectationudis taken, becomes unrealistic over the problem domain. In worstudcase, it can certify whether a mathematical bound is conservativeudor not. Here we revisit the results on Bubble sort in sequentialudmode and make an independent study of the same algorithm inudparallel mode using statistical bound
机译:在最近的一些论文中,基于权重的统计界限比基于计数的数学界限更好地解释了时间复杂性。这对于一般情况绝对正确,对于任意代码,很难确定代码中的关键运算或关键区域以获取期望 udand /或当期望 udis的概率分布变得不切实际时在问题领域。在最坏的情况下,它可以证明数学界限是否保守。在这里,我们以顺序 udmode模式重新查看关于Bubble排序的结果,并使用统计界对 udparallel模式下的相同算法进行独立研究

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