Timeline for Approximating a function with sums of gaussians
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 12 at 20:10 | comment | added | user3137493 | Still available on archive.org: web.archive.org/web/20161022032323/http://www.unc.edu/math/… | |
| Sep 13, 2020 at 18:15 | comment | added | Jess Riedel | Liviu, that link no longer works and I couldn't dig up the pdf by Googling. | |
| Jan 12, 2017 at 5:15 | answer | added | rych | timeline score: 2 | |
| Jan 11, 2017 at 22:12 | history | edited | Michael | CC BY-SA 3.0 |
added 148 characters in body
|
| Jan 10, 2017 at 15:52 | comment | added | Igor Rivin | Ah, I misunderstood the question somewhat... | |
| Jan 10, 2017 at 9:54 | comment | added | Liviu Nicolaescu | The span of Gaussians is dense in the space of even Schwartz functions on $\mathbb{R}$. Density refers to the usual topology on the space of Scwartz functions. See Lemma 2.2 in unc.edu/math/Faculty/met/bessel2.pdf | |
| Jan 10, 2017 at 5:01 | comment | added | Michael | @IgorRivin, Gaussian cannot be, but $g_n$ are sums of Gaussian, with coefficients $a_{nk}$ that don't have to be nonnegative. | |
| Jan 10, 2017 at 2:49 | comment | added | Igor Rivin | How can gaussians, being positive nonvanishing functions, be orthogonal? | |
| Jan 10, 2017 at 0:24 | history | asked | Michael | CC BY-SA 3.0 |