Difference between revisions of "TADM2E 2.45"

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The expected number of times the assignment to <i>tmp</i> is made is the sum of the probabilities that the <math>n^{th}</math> element is the <i>minimum</i>. If we assume the minimum is distributed uniformly in our sequence then the probability any given element is the minimum is <math>1/n</math>.
  
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Expected time is E(n) = E(n-1) + 1/n, E[1] = 0
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To compute expected value we sum this quantity for <math>n</math>:
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<math>\sum_{i=1}^{n} \frac{1}{i}</math>
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and recognize this as the definition of the <math>n^{th}</math> <i>Harmonic number</i>
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<math>H(n) = \sum_{i=1}^{n} \frac{1}{i} \sim \ln n</math>
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so our expected value approaches <math>\ln n</math> as <math>n</math> grows large.
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''Return to [[Algo-analysis-TADM2E]]''

Revision as of 15:57, 23 July 2020

The expected number of times the assignment to tmp is made is the sum of the probabilities that the $ n^{th} $ element is the minimum. If we assume the minimum is distributed uniformly in our sequence then the probability any given element is the minimum is $ 1/n $.

Expected time is E(n) = E(n-1) + 1/n, E[1] = 0

To compute expected value we sum this quantity for $ n $:

$ \sum_{i=1}^{n} \frac{1}{i} $

and recognize this as the definition of the $ n^{th} $ Harmonic number

$ H(n) = \sum_{i=1}^{n} \frac{1}{i} \sim \ln n $

so our expected value approaches $ \ln n $ as $ n $ grows large.

Return to Algo-analysis-TADM2E