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Simple, Optimal Algorithms for Random Sampling Without Replacement

  • arXiv (Cornell University)
  • Cornell University
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Abstract

Consider the fundamental problem of drawing a simple random sample of size k without replacement from [n] := {1, . . . , n}. Although a number of classical algorithms exist for this problem, we construct algorithms that are even simpler, easier to implement, and have optimal space and time complexity.

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Publication details

DOI
10.48550/arxiv.2104.05091
OpenAlex
W3157441632
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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