Odds algorithm: Difference between revisions

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Odds-theorem: corrected value of 1/e.
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# The odds-strategy is ''optimal'', that is, it maximizes the probability of stopping on the last 1.
# The win probability of the odds-strategy equals <math>\,w= Q_s R_s </math>
# If <math>\, R_s \ge \,1 </math>, the win probability <math>\, w</math> is always at least <math> \,1/e = 0.378368\dots</math>, and this lower bound is ''best possible''.
 
==Features of the odds-algorithm==