In article <2024Sep9.105514@mips.complang.tuwien.ac.at>,   
   Anton Ertl  wrote:   
   >mhx@iae.nl (mhx) writes:   
   >>On Mon, 9 Sep 2024 6:55:49 +0000, Lars Brinkhoff wrote:   
   >>   
   >>[..]   
   >>> I would like to recommend Marsaglia's newer and better xorshift family   
   >>> of PRNGs, and preferably the further development by Sebastiano Vigna   
   >>> called xoroshiro.  The output (with suitable parameters) is very good*,   
   >>> yet the implementation is very simple.   
   >>>   
   >>> *But not cryptography grade.   
   >>   
   >>Being "cryptography grade" is the point when you want to introduce   
   >>something new for a PRNG :--)   
   >   
   >Having better randomness at the same speed or better speed with   
   >similar randomness is also relevant outside cryptographic   
   >applications.   
   >   
   >> 1320>> : RANDOM        seed  $107465 *  $234567 +  ( -- u )   
   >> 1321:                  9 ROL DUP TO seed ;   
   >   
   >So this is a linear congruential generator enhanded with the 9 ROL.   
   >LCGs have known weaknesses that are relevant even for   
   >non-cryptographic applications.  Maybe the ROL fixes those; have you   
   >run it through ransomness testers?   
      
   A naive use of those RANDOM generators without the crutch:   
   RANDOM 6 MOD 1+   
   (Simulating a roll of the dice)   
      
   Then you discover that rolls of the dice, uneven and odd   
   number of eyes alternate ..   
      
   There is much to be said to use a high quality random   
   generator to begin with. The expertise to identify faults   
   with random generators is high.   
      
   Those types also have a high correlation between subsequent   
   points, making it unfit to select a random point in a   
   two dimensional plane.   
      
   I know Marcel uses the random generator for games, which is   
   okay.   
      
   >- anton   
      
   Groetjes Albert   
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