Talk:Polynomial chaos

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Innappropriate citations

I am in fact an expert in polynomial chaos. Given that it is a relatively small crowd, and what I am about to say, I will remain anonymous. This article is disappointing. It appears as though people are using it to inappropriately cite their own work. The first three citations are definitely legitimate (Wiener N. (October 1938). "The Homogeneous Chaos". American Journal of Mathematics (American Journal of Mathematics, Vol. 60, No. 4) 60 (4): 897–936. doi:10.2307/2371268. JSTOR 2371268. (original paper); D. Xiu, Numerical Methods for Stochastic Computations: A Spectral Method Approach Princeton University Press, 2010. ISBN 978-0-691-14212-8; Ghanem, R., and Spanos, P., Stochastic Finite Elements: A Spectral Approach, Springer Verlag, 1991. (reissued by Dover Publications, 2004.)). Some of the others, particularly conference proceedings, do not seem like they belong in an encyclopedia. Somehow, this article manages to cite highly specialized applications without even providing a basic polynomial chaos expansion. I will try to improve the article soon, but need to learn a bit more about editing in wikipedia. 71.171.29.78 (talk) 11:56, 21 November 2015 (UTC)[reply]

As a professional mathematician with some familiarity with probability theory, Gaussian processes, and their applications to QFT, I find this article disorganized and vague. Neither the expert nor the beginner will get much out of it. It should be flagged for quality, but I don't know how to do that.

2001:67C:10EC:578F:8000:0:0:DE (talk) 18:41, 25 October 2021 (UTC)[reply]

Disappointing, but maybe the state of the art

As someone not specialized in chaos theory, I anticipated Polynomial Chaos would offer a view of its mechanics or methods, something that shows polynomial properties of chaos. Perhaps this hasn't been mathematically achieved? — Preceding unsigned comment added by 208.80.117.214 (talk) 05:40, 27 September 2013 (UTC)[reply]

aPC

The last paragraph in this article reads like the abstract of a paper rather than an encyclopedia entry. I don't think the paper mentioned has had sufficient attention to merit its inclusion here yet. 129.215.90.221 (talk) 10:00, 22 October 2012 (UTC)[reply]

Iterated polynomials

Polynomial chaos has nothing whatsoever to do with the Karhunen-Loève theorem or even with the field of probability theory. It refers to the observation that for certain polynomials of a complex variable, the iterated function, properly normalized, gives rise to a chaotic set (meaning that macro and micro structure appear similar regardless of the scale)

I was just browsing wiki looking for a good example to play around with. I am not quite prepared to write a definitive article on the subject. I would hope that someone else is. —Preceding unsigned comment added by Izmirlig (talk • contribs)

Unfortunately the same terminology is used to mean two different things here, you are referring to complex dynamics, which is also short a good article. Either way, the current article on Weiner polynomial chaos does not give a definition of what it is, which should be changed. Compsonheir (talk) 17:35, 19 October 2011 (UTC)[reply]

Please kepp a valid entry in Wikipedia for Polynomial chaos

By far I am not a specialist of the topic. I came there while searching for something that the ordirary scientist could understand on Polynomial chaos. The page actually did not met my needs. I still beleive that a separate entry in Wikipedia is needed for this technique. I hope somebody involved in this topic can develop this article. If so, this will be by far a better option than deleting or merging it. OPlanchon (talk) 13:04, 15 November 2012 (UTC)[reply]

Non-sampling method

Polynomial chaos is in its intrusive application a non-sampling methods, see e.g. spectral stochastic finite elements. But if used non-intrusively, it is in fact a sampling method and can be shown to coincide with collocation methods by the use of double orthogonal polynomials. -max — Preceding unsigned comment added by 130.75.172.231 (talk) 08:41, 11 March 2020 (UTC)[reply]