Random Weighted Selection
Randomly pick n from size(h)>=n
elements, biased with linear weights as
given in h, without replacement.
Works with infinity and zero weighting
entries, but always picks them
sequentially in this case.
Syntax: Y=randweightedpick(h,n)
Example:
randweightedpick([2,0,5,Inf,3,Inf,0],7)
returns [4,6,...,2,7] all the time as
[4,6] are infinities and [2,7] are
zeros; in between, the results will be
a permutation of [1,3,5]:
[...,3,5,1,...] 30.0% of the time {5/(2+3+5) * 3/(2+3)}
[...,3,1,5,...] 20.0% of the time {5/(2+3+5) * 2/(2+3)}
[...,5,3,1,...] 21.4% of the time {3/(2+3+5) * 5/(2+5)}
[...,1,3,5,...] 12.5% of the time {2/(2+3+5) * 5/(3+5)}
[...,5,1,3,...] 8.6% of the time {3/(2+3+5) * 2/(2+5)}
[...,1,5,3,...] 7.5% of the time {2/(2+3+5) * 3/(3+5)}
Y returns the vector of indices
corresponding to the weights in h.
Cite As
Adam Gripton (2024). Random Weighted Selection (https://www.mathworks.com/matlabcentral/fileexchange/35790-random-weighted-selection), MATLAB Central File Exchange. Retrieved .
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Version | Published | Release Notes | |
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1.0.0.0 |