Timeline for Fitting data with interdependence
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
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| Sep 1, 2015 at 19:37 | comment | added | user129412 | Yes, I did have a look at Daniels comment, it does seem a little complicated at this point so I'm trying to work it out. Thanks for the help! | |
| Sep 1, 2015 at 19:21 | comment | added | Inari | Yeah, this clears that point. I would then use the link provided by Daniel in the comments above to try the fitting of all datasets with mathematica, if this is what you are going to work with :) | |
| Sep 1, 2015 at 19:18 | comment | added | user129412 | Thanks for the comment! I think you make some good suggestions. First of all, about the symmetry of the situation. I do in fact believe that it will end up being symmetric, but in fact I know which set of data belongs to which capacitor. One of the two will always have the lower value of $\omega$, so this is very clearly known in advance, even if the equations are symmetric. Is that what you meant? As for the fitting routine. So you'd suggest looking into simultaniously fitting the two omegas and J to the data, to find the C's, and then trying to link these C's to the number of fingers, right? | |
| Sep 1, 2015 at 18:02 | history | answered | Inari | CC BY-SA 3.0 |