Uniformly distributed random numbers
r = rand(s,n)
r = rand(s,m,n)
r = rand(s,[m,n])
r = rand(s,m,n,p,...)
r =
rand(s,[m,n,p,...])
r = rand(s)
r = rand(s,size(A))
r = rand(..., 'double')
r
= rand(..., 'single')
r = rand(s,n)
returns an n
-by-n
matrix containing pseudorandom values drawn from the standard uniform distribution on the open
interval (0,1). The values are drawn from the random stream s
.
r = rand(s,m,n)
or r = rand(s,[m,n])
returns an
m
-by-n
matrix.
r = rand(s,m,n,p,...)
or r =
rand(s,[m,n,p,...])
returns an m
-by-n
-by-p
-by-...
array.
r = rand(s)
returns a scalar.
r = rand(s,size(A))
returns an array the same size as
A
.
r = rand(..., 'double')
or
r
= rand(..., 'single')
returns an array of uniform values of the
specified class.
The size inputs m
, n
, p
, ...
should be nonnegative integers. Negative integers are treated as 0.
The sequence of numbers produced by rand
is determined by the
internal state of the random number stream s
. Resetting that stream to the
same fixed state allows computations to be repeated. Setting the stream to different states
leads to unique computations, however, it does not improve any statistical properties.