Timeline for Interpolation[] gives negative values when all the initial data is positive
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Oct 30, 2019 at 18:00 | history | tweeted | twitter.com/StackMma/status/1189603041596657665 | ||
| Oct 30, 2019 at 10:40 | comment | added | Alexey Popkov | Strongly related: "Monotone, periodic 1d-interpolation with continuous 1st order derivative." | |
| Oct 30, 2019 at 10:38 | answer | added | Markus Roellig | timeline score: 1 | |
| Oct 30, 2019 at 9:08 | answer | added | anderstood | timeline score: 2 | |
| Oct 29, 2019 at 22:53 | history | became hot network question | |||
| Oct 29, 2019 at 19:42 | vote | accept | user85503 | ||
| Oct 29, 2019 at 15:50 | answer | added | John Doty | timeline score: 14 | |
| Oct 29, 2019 at 15:23 | comment | added | anderstood |
Interpolation is in general not monotonic. There can be overshoot (see en.wikipedia.org/wiki/Runge's_phenomenon). You can enforce monotonicity by using 1st order interpolation, or en.wikipedia.org/wiki/Monotone_cubic_interpolation. As a side note, Interpolate is a very bad name for a variable!
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| Oct 29, 2019 at 14:52 | history | asked | user85503 | CC BY-SA 4.0 |