Timeline for Higher order periodic interpolation (curve fitting)
Current License: CC BY-SA 3.0
11 events
when toggle format | what | by | license | comment | |
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Sep 13, 2012 at 22:05 | review | First posts | |||
Sep 19, 2012 at 0:18 | |||||
Sep 6, 2012 at 13:00 | history | edited | J. M.'s missing motivation♦ | CC BY-SA 3.0 |
a more substantive edit than removing "thank you" would have been nice... oh well.
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Sep 6, 2012 at 10:36 | vote | accept | warsaga | ||
Sep 6, 2012 at 0:04 | answer | added | J. M.'s missing motivation♦ | timeline score: 26 | |
Sep 6, 2012 at 0:02 | history | tweeted | twitter.com/#!/StackMma/status/243499374414553088 | ||
Sep 5, 2012 at 21:39 | answer | added | Sjoerd C. de Vries | timeline score: 15 | |
Sep 5, 2012 at 21:20 | history | edited | F'x | CC BY-SA 3.0 |
deleted 18 characters in body
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Sep 5, 2012 at 21:16 | comment | added | Vitaliy Kaurov | Is the function with open ends or a closed loop? And as @rcollyer already said, we really need the points. | |
Sep 5, 2012 at 20:22 | comment | added | chuy |
I might be understanding your question correctly, but if you want to ensure a continuous derivative you will need to use the following option: ListInterpolation[pts1, {0, 1}, InterpolationOrder -> 4,PeriodicInterpolation -> True, Method -> "Spline"] . By default ListInterpolation is using a Hermite interpolation which does not guarantee a continuous derivative.
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Sep 5, 2012 at 20:10 | comment | added | rcollyer | Can you post your points somewhere, so that we can use them to compare? | |
Sep 5, 2012 at 20:02 | history | asked | warsaga | CC BY-SA 3.0 |