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The main topic of this book is implementing hash tables; it’s only secondarily about hash functions. This is why you have assumed a priori that you have uniformly distributed hash keys. In reality, this is unlikely to be the case; real data are rarely random samples from the space of possible data values. In this chapter, you will learn about commonly used heuristic hash functions. In the next chapter, you will see an approach to achieving stronger probabilistic guarantees.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |