Of course you can still speed up this solution, but I doubt it would be more than micro optimizations or just related to Perl specific features/bottlenecks (like overhead for allocating temporary arrays) °
This needs only one multiplication per divisor, hence its O(#D) i.e. <= O(2^#P) for worst case, that's pretty optimal.
But I like the simplicity and readability compared to other suggestions, so personally I wouldn't start micro optimization now just to save 10 or 20 %.
update
Of course I'm not comparing to solutions using XS modules. In that case just use C directly.
Cheers Rolf
(addicted to the Perl Programming Language and ☆☆☆☆ :)
°) or moving data or linearizing loops
update
E.G. you could try to replace the maps with direct
push @D_new, ($_*$p) for @D
expressions!
This could should be faster... but I'm not very motivated to benchmark myself. :)
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