Discrete uniform inverse cumulative distribution function
X = unidinv(P,N)
X = unidinv(P,N) returns
the smallest positive integer
X such that the discrete
uniform cdf evaluated at
X is equal to or exceeds
You can think of
P as the probability of drawing
a number as large as
X out of a hat with the numbers
N can be vectors,
matrices, or multidimensional arrays that have the same size, which
is also the size of
X. A scalar
P is expanded
to a constant array with the same dimensions as the other input. The
P must lie on the interval [0 1]
and the values in
N must be positive integers.
x = unidinv(0.7,20) x = 14 y = unidinv(0.7 + eps,20) y = 15
A small change in the first parameter produces a large jump in output. The cdf and its inverse are both step functions. The example shows what happens at a step.
This function fully supports GPU arrays. For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).