Comments on: various functions with different distributions for Math.random()

By: Handnotes» Blog Archive » Random non-uniform distribution

Handnotes» Blog Archive » Random non-uniform distribution — Thu, 25 Jun 2009 16:45:39 +0000

[...] various functions with different distributions for Math.random() [...]

By: Dear Computer,

Dear Computer, — Sat, 28 Feb 2009 11:35:05 +0000

Pixelero, thanks a lot for publishing these functions. Very inspiring. They helped me a lot with finding more interesting ways of semi-randomly distributing forms on the digital canvas. Check out my latest experiments @ http://www.flickr.com/photos/dear_computer/

By: Flüge

Flüge — Tue, 09 Sep 2008 11:18:21 +0000

@pixelero: Nice work.
@CJ CAT: Well, it´s while ago since my last econometric-lessons but I think this is the point;)

By: CJ Cat

CJ Cat — Sun, 08 Jun 2008 03:09:04 +0000

Interesting…I just learned this in probability and statistics. It’s the central limit theorem right? The more random samples you take, the more likely you’ll have a Gaussian(bell-shaped) distribution.

By: [FLASH]Math.random()の頻度分布

[FLASH]Math.random()の頻度分布 — Sat, 07 Jun 2008 14:42:29 +0000

[...] various functions with different distributions for Math.random() « Pixeleroで興味深いことをやっていたのでFlashで実践。Math.random()は0以上1未満の乱数をだいたい均等な頻度で返す。じゃあ例えばこれは？ [...]

By: Mario Klingemann

Mario Klingemann — Mon, 28 Apr 2008 17:44:57 +0000

I was playing with noise(), but I’m pretty sure that perlinNoise() might give some interesting results, too (except that perlinNoise doesn’t give you the full range of numbers from 0 – 255).

Looking at the histogram of BitmapData.noise() with low random seeds also reveals that that the random distribution for those seeds is not as “good” as for higher seeds.

By: pixelero

pixelero — Mon, 28 Apr 2008 07:07:25 +0000

Thanks for your comments!
Mario: Experimenting this with BitmapData.noise() – or perlinNoise()? – sounds interesting. I did already wonder how to extend and utilize this in 2D, 3D …

With google I found some older writings of ‘gaussian’ math.random, but I didn’t see ‘Good math, bad math’ earlier – thanks for mentioning.

Jake: glad I made it clear — or just confused even more !

By: Jake

Jake — Sat, 26 Apr 2008 20:20:02 +0000

“Maths with random are sometimes very unpredictable”

That is totally the point!

By: Mario Klingemann

Mario Klingemann — Fri, 25 Apr 2008 19:29:06 +0000

That’s some funny coincidence – I’ve just made some very similar experiments with the BitmapData.noise() method. You didn’t by chance read the “Good Math, Bad Math” blog article about random distributions?

By: Pixelero

Pixelero — Fri, 25 Apr 2008 08:28:24 +0000

one more:

f= 0.2; r=f*Math.random()+(1.0-f)*Math.random()*Math.random(); // peak in x=f, value f<0.5