On 06/03/2013 04:10 PM, Phil Steitz wrote: > On 6/3/13 4:18 AM, Thomas Neidhart wrote: >> Hi, >> >> to start working on the Monte Carlo engine (see MATH-463) I would like to >> break this thing up in multiple pieces. One thing that could be added >> independently is the concept of a stochastic process (e.g. Wiener, >> BrownianMotion, ...). > > +1 >> >> The code in the contribution is already a pretty good start, but the >> question would be where to put it. We do not yet have a stochastic base >> package, and random is also not such a good fit imho. >> >> I see various options: >> >> - random.process: well it models a random process ... > > random was originally intended to just house random data generation > stuff. I would see stochastic processes as logical clients of the > generators in random, but I see the logic here. >> - stochastic.process: downside of adding another top-level package > > It think this is probably the best. I tend to favor shallow and > wide over deep and narrow because it makes it easier to find things > and leads to less head-scratching about why things are where they > are. What are the other stochastic.x that you have in mind?
I would also prefer this, but currently I do not have a clear idea of other packages that would reside beneath stochastic. >> - stat.process: well, statistics is a sub-group of stochastic so it would >> not be perfect > > He he. A probabilist, I assume :) What you probably really mean is > probability.stochastic.process, probability.stat.*. Too deep for me :) yes, I would not propose something like that ;-). Thomas --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
