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 Author Comment/Response joon 08/04/12 01:23am Hi, I am trying to fit a 1-dimensional data with eigenvectors. Here is my test code to see if this is possible. f[a0_, b0_] := Module[{M, eigv}, M = {{a0, 0, 3}, {0, b0, 0}, {3, 0, 7}}; eigv = Eigenvectors[N[M]]; Return[Flatten[eigv]] ] This function returns a 1-dimensional list. I generate a dataset by using this function for convenience: data = f[2, 5] Then I get the data: {0.424155, 0., 0.905589, 0., -1., 0., -0.905589, 0., 0.424155} Now I try to fit the data using following expression: testfit = FindFit[data, f[a, b][[x]], {{a, 3.1}, {b, 5.3}}, x] I get following warnings and a result: Part::pspec: Part specification x is neither an integer nor a list of integers. >> Part::pspec: Part specification #10 is neither an integer nor a list of integers. >> {a -> 7.57549, b -> 5.3} The goal was to fit the one dimensional vector with an one dimensional vector generated by f[a,b][[x]]. In this process we compare each element of those two 1-dim lists. Apparently the result is far from being correct, and I get warnings. Is this idea possible to implement in Mathematica at all? Thanks! URL: ,

 Subject (listing for 'fit data with eigenvectors') Author Date Posted fit data with eigenvectors joon 08/04/12 01:23am Re: fit data with eigenvectors Bill Simpson 08/05/12 00:07am Re: fit data with eigenvectors Peter Pein 08/05/12 02:38am Re: fit data with eigenvectors Peter Pein 08/05/12 02:52am Re: fit data with eigenvectors joon 08/21/12 5:02pm
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