Polymorphic functions that populate Neanderthal's data structures with random numbers drawn from common distributions.
Polymorphic functions that populate Neanderthal's data structures with random numbers drawn from common distributions. [[rng-state]], [[rand-normal!]], [[rand-uniform!]]
(rand-normal! x)(rand-normal! rng-state x)(rand-normal! mu sigma x)(rand-normal! rng-state mu sigma x)Populates vector x with normally distributed random numbers.
The distribution is controlled by arguments mu and sigma.
If rng-state is not provided, uses the global default rng state.
Populates vector `x` with normally distributed random numbers. The distribution is controlled by arguments `mu` and `sigma`. If `rng-state` is not provided, uses the global default rng state.
(rand-uniform! x)(rand-uniform! rng-state x)(rand-uniform! lower upper x)(rand-uniform! rng-state lower upper x)Populates vector x with uniformly distributed random numbers.
The distribution is controlled by arguments lower and upper.
If rng-state is not provided, uses the engine's global default rng state.
Populates vector `x` with uniformly distributed random numbers. The distribution is controlled by arguments `lower` and `upper`. If `rng-state` is not provided, uses the engine's global default rng state.
(rng-state fact)(rng-state fact seed)Creates a random number generator state compatible with a factory. Optionally accepts the seed for reproducibility.
Creates a random number generator state compatible with a factory. Optionally accepts the seed for reproducibility.
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