New Roulette-wheel Selection Via Stochastic Acceptance 2026
Posted on Jan 2
• Originally published at paperium.net
Imagine a spinning wheel that pick a name, where bigger slices have higher chance to win. Instead of searching through every option, this trick uses stochastic acceptance — try one at random, accept it with a probability tied to its weights, if rejected try again. That makes the process much fast in most cases, not slowing down as choices grow. It’s simple to understand and easy to try, so you can use it in games, simulations, or models where you need fair but weighted picks. For cases with very uneven chances there is a small hybrid tweak that keeps it reliable, and with minor changes it also works for sampling without repeat picks or for applying a cutoff. The idea feels like letting luck test itself, not a long search. You get near instant picks, fewer steps, and less waiting, which help when your system must pick many times. Try it and see how a tiny change can speed things up.
Read article comprehensive review in Paperium.net: Roulette-wheel selection via stochastic acceptance
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