Efficient allocation of random numbers(U(0,1)) into categories

조회 수: 4(최근 30일)
DoVile Last Name: 2012년 9월 29일
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 i=1:length(randoms)
for r = 1:(length(ShockProbabilities)-1)
if randoms(i) >= (ShockProbabilities(r)) && randoms(i) < (ShockProbabilities(r+1)); randoms(i)=(r-1); end
end
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
Thanks :)

댓글을 달려면 로그인하십시오.

채택된 답변

Matt Fig 2012년 9월 29일
편집: Matt Fig 2012년 9월 29일
Also, in your code there is no reference to either input1 or input2, so I cannot run it...
댓글 수: 3표시숨기기 이전 댓글 수: 2
DoVile Last Name: 2012년 9월 29일
Great i got it working, and the break tip was a real eye opener for me! in the actual program i will be using quasirandom numbers instead of the ones from the example so they wont be sorted, also i kind of want a more robust function.
Thanks Matt :)

댓글을 달려면 로그인하십시오.

범주

Find more on Monte Carlo Analysis in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by