Resultados da pesquisa

...and Takuji Nishimura. It provides for fast generation of very high quality pseudorandom integers. The Mersenne Twister was designed specifically to address many of ...the period of the Mersenne Twister is always chosen to be a Mersenne prime number.

Generates uniformly random number between 'low' and 'high' limits [[Category:Pseudorandom number generators]]

It is the discrete probability distribution of a specific number of successes in a sequence of ''n'' independent experiments, each asking a [[Category:Pseudorandom number generators]]

...iscrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space if these events oc [[Category:Pseudorandom number generators]]

[[Category:Pseudorandom number generators]]

[[Category:Pseudorandom number generators]]

[[Category:Pseudorandom number generators]]

..., we can generate Normally distributed random variates from Uniform random generators. [[Category:Pseudorandom number generators]]

[[Category:Pseudorandom number generators]]

...st define a variable r to describe the “lag” of the MWC. We must provide a number of seed values equal to r. Like the LCG algorithm (Equation 4.2), we also h The variable ''n'' represents the number in the sequence you are calculating. It is important that ''n'' always be g

[[Category:Pseudorandom number generators]]