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On 03/11/2009, at 6:57 PM, Mike Pall wrote:
The big-O notation assumes constant overhead per access or per
instruction. But that's far from the truth with a modern CPU. An
O(n) linear search can outperform an O(log n) tree search for a
much larger 'n' than you might imagine. Try it!

I assume that this scenario depends on n fitting into
an L1/L2 data cache? Now that you put it this way I can
see how a tree search would be slow -- constantly sending
the CPU galloping off into main memory for the next

There's a book in there somewhere. "Data Structures
and Algorithms for Modern Architectures".