Many thanks for your two cents !
I wonder if the first name of people answering my first question is
really random : Mark, Mark and Mark...
Jacques
Le 12 nov. 2008 à 18:46, Mark Brownell a écrit :
I'm surprised that the random seed was not mentioned. Please excuse
this if someone has responded with that. I'm on digest mode.
I've solved the random RNG problem by simulating the function of the
Roulette wheel. This idea of using random bits or like some websites
do it is the clue. When Revolution starts up it sets a new random
seed and uses that same seed until the application shuts down. If
you reset the random seed for each spin, like on a roulette wheel,
then you can combine several things that must happen before the ball
lands in a single slot. You can randomize the spin speed, the wheel
speed, the track resistance, the bumper strike positions or misses,
and the slot fin strikes or misses. In this way, by combining
several random conditions you can do as well as any accepted form of
so called true randomness.
So I would stack about five different conditions that include
millions of possibilities and use that to randomize the final
outcome. I would always set a new random seed before starting.
My two cents,
another; Mark
Message: 8
Date: Tue, 11 Nov 2008 22:16:18 +0100
From: Jacques Hausser <[EMAIL PROTECTED]>
Subject: Random algorithm
Hi,
Does somebody know which algorithm is hidden behind the random
function ? Native random number generators have usually a poor
reputation, and I need trustable random numbers. I have translated
the
Mersenne twister algorithm which works OK, but slowly (47
milliseconds
for 1000 numbers against five for the random function). If the native
function is a good one, I'll keep it...
Thanks for any hint
Jacques
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