rndKMp#
Purpose#
Computes Poisson pseudo-random numbers.
Format#
- { x, newstate } = rndKMp(r, c, lambda, state)#
- Parameters:
r (scalar) – number of rows of resulting matrix.
c (scalar) – number of columns of resulting matrix.
lambda (matrix or vector or scalar) – Shape argument for Poisson distribution, scalar or ExE conformable matrix with r and c.
state (scalar or 500x1 vector) –
scalar case
state = starting seed value only. If -1, GAUSS computes the starting seed based on the system clock.
500x1 vector case
state = the state vector returned from a previous call to one of the
rndKM
random number functions.
- Returns:
x (RxC matrix) – Poisson distributed random numbers.
newstate (500x1 vector) – the updated state.
Remarks#
The properties of the pseudo-random numbers in x are:
r and c will be truncated to integers if necessary.
Technical Notes#
rndKMp()
uses the recur-with-carry KISS+Monster algorithm described in the rndKMi()
Technical Notes.
Source#
randkm.src