Sources

RandomNumber Block

Generates random numbers. Supports uniform and gaussian distributions. Deterministic with seed.

# RandomNumber Block

Description

Generates pseudo-random numbers using a deterministic PRNG (xorshift64). Supports uniform and gaussian distributions. Same seed produces identical sequences.

Mathematical Model

Uniform:  y ~ U(minimum, maximum)
Gaussian: y ~ N(μ = minimum, σ = maximum)

Implemented via xorshift64 pseudorandom number generator with configurable seed. Identical seeds always produce identical sequences.

Parameters

distribution

uniform: Uniform distribution between minimum and maximum
gaussian: Normal distribution with mean and standard deviation

minimum / maximum

For uniform: the output range [minimum, maximum]. For gaussian: minimum = mean, maximum = standard deviation.

seed

Random seed for reproducibility. Same seed always produces the same sequence.

Remarks

Deterministic: The same seed always produces the identical sequence — useful for reproducible simulations
Seed 0: Uses system entropy for initialization (truly non-deterministic start)
Gaussian distribution: Use for sensor noise, measurement uncertainty, and Monte Carlo analysis
Uniform distribution: Use for dithering, initial conditions, and stochastic rounding
Performance: xorshift64 is extremely fast; thousands of independent RNG blocks can run in parallel