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Based on your post and discussion with BrowserUk, my first thought is a Gaussian - see Normal_distribution. The functional form gives you a width parameter and the normalization is known, so it will satisfy your importance and radius requirements. You could probably implement your boost parameter by modifying the exponent on x. Perhaps something like:
#!/usr/bin/perl -w use warnings; use strict; sub boost { my ($x, $importance, $radius, $drop) = @_; return $importance * exp( -($x/$radius)**$drop ); } my $imp = 1000; my $rad = 100; my $drop = 1; for (map 2**$_, 1..15) { my $boost = boost($_, $imp, $rad, $drop); my $bar = "@" x ($boost/$imp*50); printf "%6d %s %.1f\n", $_, $bar, $boost; } __END__ 2 @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 980.2 4 @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 960.8 8 @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 923.1 16 @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 852.1 32 @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ 726.1 64 @@@@@@@@@@@@@@@@@@@@@@@@@@ 527.3 128 @@@@@@@@@@@@@ 278.0 256 @@@ 77.3 512 6.0 1024 0.0 2048 0.0 4096 0.0 8192 0.0 16384 0.0 32768 0.0

Update: Fixed typo in call order.


In reply to Re: [OT] Normalizing the return result of an exponential formula by kennethk
in thread [OT] Normalizing the return result of an exponential formula by clinton

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