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Reservoir sampling
Reservoir sampling is a family of randomized algorithms for randomly choosing k samples from a list S containing n items, where n is either a very large or unknown number.
More at Wikipedia
Moving average
Fisher-Yates shuffle
More related topics
Probabilistic complexity theory
Analysis of algorithms
Algorithms
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