
With Jason Swett: when data structures, big-O notation and algorithms were completely useless...
Computer Science: Just the Useful Bits
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How to Double Your Algorithm
The fastest starts are O of N log N. And that basically means they're mostly linear. But every time you multiply the number of things by 10 times, say, it adds a small constant total. So N log N is slower than linear, but it's barely slower. It is slower in a way that barely matters as the number of objects get large. That has to be multiplied by an enormous number for that to matter.
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