--- F Norin <[EMAIL PROTECTED]> wrote: > > Do you have any references for the quantum physics cases? I certainly > > didn't specialize in quantum physics (plasma physics typically uses almost > > everything _but_ quantum physics), but I did get as far as a EE graduate > > course in QED and never encountered such probability models. Maybe it's > > because I wasn't in a physics department or ever really encountered > > molecular models in what I was studying? > > I don't have any references handy (not my area of expertise), but it's often > mentioned as an application area in articles dealing with these > distributions. For instance, I guess physics models that uses Brownian motion > models could use these distributions as they do show up in connection with > Brownian motion theory.
Thanks. My engineering physics curriculum was a little non-standard (when compared to physics departments' programs), and the statistical thermodynamics course didn't actually cover statistical mechanics (hence the peculiar course title, I suppose), which is where I presume one would ordinarily encounter the analysis of Brownian motion. > > Honestly, I doubt most of the users of Commons Math will be needing this > > kind of distribution, but I guess if we merge in (parts of) Colt, we might > > end up attracting that kind of user. > > As a matter of fact, many concepts in probability theory that at first sight > may seem rather obscure can actually be used for practical applications. > Stochastic modeling of the financial markets is a good example where very > advanced mathematics is actually put to practical use. Ah, interesting point. I only just learned a teeny bit about integration of stochastic equations in portfolio value projection from a couple of "C/C++ Users Journal" articles earlier this year. A graduate complex analysis course I sat in on just the first week of started out with numerous examples of applications to reasonably real-world problems that I never would have thought of (not the ones I learned about in other courses that used complex analysis, for sure). Math certainly does have an uncanny way of connecting both with other areas of itself and the real world. I think Commons Math will be unusually hard pressed (compared to other math libraries) to choose what we feel are the most useful / commonly used features for inclusion in the library. If we were working on a more general purpose math library, the constraints obviously wouldn't be as tight. Al --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
