Variance Reduction
Also called: antithetic variates, control variates, quasi-Monte Carlo
Variance reduction is the set of tricks that make Monte Carlo converge with far fewer paths. Antithetic variates pair each random draw with its mirror image; control variates exploit a related instrument with a known analytic price; low-discrepancy sequences fill the space more evenly than random numbers. Since Monte Carlo error falls only with the square root of paths, a technique that halves variance is worth four times the hardware.
Where this is taught
Definitions are the trailer. These free levels turn Variance Reduction into something you play — one bite-size lesson, with worked examples, a quiz and XP.