# rndCauchy¶

## Purpose¶

Computes Cauchy random numbers with a choice of underlying random number generator.

## Format¶

r = rndCauchy(rows, cols, location, scale)
{ r, newstate } = rndCauchy(rows, cols, location, scale, state)
Parameters: rows (scalar) – number of rows of resulting matrix. cols (scalar) – number of columns of resulting matrix. location (scalar or matrix) – Cauchy location parameter, scalar or ExE conformable matrix with rows and cols scale (scalar or matrix) – Cauchy scale parameter, scalar or ExE conformable matrix with rows and cols 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. r (rows x cols matrix) – Cauchy distributed random numbers. newstate (Opaque vector) – the updated state.

## Remarks¶

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

$\begin{split}E(x) = \text{undefined} \\ Var(x) = \text{undefined} \\ Median(x) = \text{location}\end{split}$

r and c will be truncated to integers if necessary.