Re:When Robustly Tolerable Beats Precariously Optimal
by nonrandomstring on Friday March 08, 2024 @07:53AM
(#39640612)
> measured all of them and the ones within 0.5% get marked up and put
in the 0.5% bin, and the remaining ones within 1% tolerance get
marked up less and get put in the 1% bin. As a result, the
distribution is bimodal on either side of the "hole" in the middle.
That's a great explanation of how iterative tolerance filtering works
and why that happens!
That's a great explanation of how iterative tolerance filtering works and why that happens!