Random Weighted Selection 1.0

Randomly pick n from size(h)>=nelements, biased with linear weights asgiven in h, without replacement.Works with infinity and zero weightingentries, but always picks themsequentially 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] arezeros; in between, the results will bea 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 indicescorresponding to the weights in h.

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	222b3,  322b3,  322b32b5,  522b32b5,  Infinities,  Permutation,  Results,  Returns,  Zeros
Users rating:	0/10