Monte Carlo simulation

Definition

Running a process thousands of times with random inputs to learn the shape of its outcomes.

A computational technique that samples random inputs from learned or assumed distributions to estimate properties of a system; in Agent JIT, used to choose execution strategies by simulating per-element latency draws.

Also called: Monte Carlo

Mentioned in 5 episodes

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