Timeline for Least squares approximation question
Current License: CC BY-SA 3.0
12 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 10, 2019 at 21:39 | comment | added | Bort | You might be interested in the answers of this question on cross validated. | |
| Apr 22, 2014 at 3:01 | review | Community Evaluations | |||
| Apr 30, 2014 at 3:01 | |||||
| Mar 26, 2014 at 2:40 | answer | added | dan04 | timeline score: 2 | |
| Mar 24, 2014 at 2:25 | vote | accept | Uday Pramod | ||
| Mar 23, 2014 at 18:01 | answer | added | Doug Lipinski | timeline score: 19 | |
| Mar 23, 2014 at 17:54 | answer | added | LKlevin | timeline score: 3 | |
| Mar 23, 2014 at 15:58 | comment | added | RogueDodecahedron | What is it exactly that you want to do? Are you trying to interpolate the points or fit given data? For example, it is useless to interpolate data that consists of a normal distribution with noise. For the former, Nasser's answer is good. For the latter, the fit function depends solely on the problem at hand and is in many cases not polynomial. | |
| Mar 23, 2014 at 4:59 | history | tweeted | twitter.com/#!/StackSciComp/status/447598442748325888 | ||
| Mar 23, 2014 at 3:33 | comment | added | Uday Pramod | Thanks for the link. We haven't gone over splines yet, so this is interesting reading. | |
| Mar 23, 2014 at 3:14 | comment | added | Nasser | I think in practice people use things like spline interpolation en.wikipedia.org/wiki/Spline_interpolation so that low order polys are used, but they fit well with each others over the overall domain. This way one does not have to guess for an overall polynomial order. | |
| Mar 22, 2014 at 23:46 | review | First posts | |||
| Mar 26, 2014 at 18:58 | |||||
| Mar 22, 2014 at 23:27 | history | asked | Uday Pramod | CC BY-SA 3.0 |