2010/2/27 Sebastian Walter <sebastian.wal...@gmail.com>: > IMO this kind of discussion is not offtopic since it is directly > related to the original question.
Ok, but I say it's not my responsibility now if the numpy-discussion namespace is polluted now. >> 2010/2/27 Sebastian Walter <sebastian.wal...@gmail.com>: >>> On Sat, Feb 27, 2010 at 3:59 PM, Friedrich Romstedt >>> <friedrichromst...@gmail.com> wrote: >>>> I'm working currently on upy, uncertainty-python, dealing with real >>>> numbers. github.com/friedrichromstedt/upy . I want in mid-term extend >>>> it to complex numbers, where the concepts of "uncertainty" are >>>> necessarily more elaborate. Do you think the concept of truncated >>>> Taylor polynomials could help in understanding or even generalising >>>> the uncertainties? >>> I'm not sure what you mean by uncertainties. Could you elaborate? >>> For all I know you can use Taylor series for nonlinear error propagation. >> >> I mean Gaussian error propagation. I currently am not intending to >> cover regimes where one has to consider "higher order" effects. If it >> is not very easy. On the contrary, I want to find a way to describe >> complex numbers which consist of a deterministic value and as many >> superposed "complex Gaussian variables" as needed. > > what is a Gaussian variable? a formula would help ;) Oh, I wasn't precise: en.wikipedia.org/wiki/Gaussian_random_variable (aka normal distribution) >>>> Are complex numbers and truncated Taylor >>>> polynomials in some way isomorphic or something similar? >>> >>> Taylor polynomials are not a field but just a commutative ring (there >>> are zero divisors) so I guess it's not possible to find an >>> isomorphism. >> >> Ok. >> >> The other things I will post back to the list, where they belong to. >> I just didn't want to have off-topic discussion there. Friedrich _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
