Create a readable stream for generating pseudorandom numbers drawn from a normal distribution.
Standard input.
Normally distributed pseudorandom numbers.
Smallest positive double-precision floating-point normal number.
Normal distribution quantile function.
Normal distribution probability density function (PDF).
Streams.
Normal distribution cumulative distribution function (CDF).
Smallest positive normalized single-precision floating-point number.
Read data from stdin.
Return a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.
Random numbers.
Smallest positive normalized half-precision floating-point number.
A 32-bit Mersenne Twister pseudorandom number generator.
Common APIs shared across base pseudorandom number generators.
Transform stream.
The minimum biased base 2 exponent for a normal double-precision floating-point number.
Uniformly distributed pseudorandom numbers between 0 and 1.
Statistical routines and probability distributions.
Normal distribution skewness.
Uniformly distributed pseudorandom numbers.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Normally distributed pseudorandom numbers using the improved Ziggurat method.
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.