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Re^11: Randomly biased, random numbers.

by educated_foo (Vicar)
on Dec 08, 2013 at 01:24 UTC ( #1066169=note: print w/ replies, xml ) Need Help??


in reply to Re^10: Randomly biased, random numbers.
in thread Randomly biased, random numbers.

Your translation looks correct, so I'm a bit surprised by the result. I only tested it in 1-D, but the histogram looked plenty spiky. You could make it spikier by raising the random numbers used to generate @fx to some power, but it sounds like you found another solution.


Comment on Re^11: Randomly biased, random numbers.
Re^12: Randomly biased, random numbers.
by BrowserUk (Pope) on Dec 08, 2013 at 07:36 UTC
    You could make it spikier by raising the random numbers used to generate @fx to some power

    Indeed, adding a power component causes much more clumpiness, and making the power component variable:

    my @fx = @{ reduce( sub{ push @$a, $a->[-1]+$b; $a }, [ 0 ], map{ rand()**rand +(3) } 1..10 ) };

    gives a nice variability.

    But yes, I am currently much enamoured of my weight-map solution. Some of the grey-scale images it produces are just downright beautiful :)

    But thankyou for your input. The vectorising of the 3D weight-map to 1D weight-stick my solution uses. came directly from your example, and I understand a little more about matlab/octave now :)


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