# rndLogNorm¶

## Purpose¶

Computes lognormal pseudo-random numbers with the choice of underlying random number generator.

## Format¶

x = rndLogNorm(r, c, mu, sigma)
{ x, newstate } = rndLogNorm(r, c, mu, sigma, state)
Parameters: r (scalar) – number of rows of resulting matrix. c (scalar) – number of columns of resulting matrix. mu (matrix or vector or scalar) – mean, scalar or ExE conformable matrix with r and c. sigma (matrix or vector or scalar) – standard deviation, scalar or ExE conformable matrix with r and c. state (scalar or opaque vector) – Optional argument. scalar case state = starting seed value only. If -1, GAUSS computes the starting seed based on the system clock. opaque vector case state = the state vector returned from a previous call to one of the rnd random number functions. x (RxC matrix) – lognormal distributed random numbers. newstate (Opaque vector) – the updated state.

## Remarks¶

The properties of the pseudo-random numbers in x are:

\begin{align}\begin{aligned}\begin{split}E(x) = exp(\mu - 0.5*\sigma^2)\\\end{split}\\Var(x) = (exp(\sigma^2) - 1) * exp(2*\mu + \sigma^2)\end{aligned}\end{align}

r and c will be truncated to integers if necessary.