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? > - 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 :) Phil > > What do you think? > > Thomas > --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org For additional commands, e-mail: dev-h...@commons.apache.org
