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From robert burrell donkin <robertburrelldon...@blueyonder.co.uk>
Subject Re: [math] Random data and lang.math.RandomUtils
Date Tue, 13 May 2003 13:16:15 GMT
a few observations:

1. there isn't really any harm in (some) duplication between math and lang.
2. what lang wants to include is an issue best left to the lang component.
3. there isn't any reason why stuff can't be refactored later. it's easier 
to discuss code in CVS.

- robert

On Tuesday, May 13, 2003, at 02:49 AM, Phil Steitz wrote:

> I am pulling together another submission that includes the random data 
> generation stuff that sent us down this path and I need to decide what to 
> submit as patches to lang's RandomUtil's implementation and what to 
> include here.  Here is my current plan:
>
> nextIntBetween(lower,upper), nextLongBetween(lower,upper), 
> nextGaussian(mu,sigma) go to lang.math.RandomUtils.
>
> nextExponential(lambda), nextPoisson(lambda) and some other parametric 
> generators are included in a new math.DataGeneration class that exposes 
> all of these (using the lang implemention for uniform, Gaussian deviates)
>  as well as the following:
>
> * random values generated using an empirical probability distribution
>   estimated from an input file (i.e., values distributed "like" those in
>   the input file)
>
> * random values generated by randomly selecting values from a vector
>   read from a file and stored in memory
>
> * values generated by replaying the values in the input file repeatedly
>
> Right now, I have a RandomData class that generates all of the parametric 
> stuff, an EmpiricalDistribution class that does density estimation from 
> an input file and a ValueServer that uses the two of these to support 
> data generation in all of the modes described above. So what I am 
> thinking about is combining them all into one.  The non-parametric data 
> generation modes are really useful in simulation, since you can feed them 
> with observed data.  Thoughts?
>
> Phil
>
>
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