Efficient allocation of random numbers(U(0,1)) into categories
조회 수: 4(최근 30일)
I am trying to create a function which takes two arguments as input, one a vector of values drawn from a uniform distribution and the other input a number of values between 0 ad 1. It should then index the values from the first input with a number corresponding to its category in the second input.
For example Input1 = [0.2 0.5 0.90 0.995] input2 = [0 0.81 0.99 1] Output = [0 0 1 2]
At present i am using a double for loop with an if statement
for r = 1:(length(ShockProbabilities)-1)
if randoms(i) >= (ShockProbabilities(r)) && randoms(i) < (ShockProbabilities(r+1)); randoms(i)=(r-1); end
Could any one suggest how i might speed this up ? i am sure there is a way and i dont like using 2 for loops and an if statement. I am just curious, i dont really need it as such