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| lsfitlinear - fit non linear function via basis function http://forum.alglib.net/viewtopic.php?f=2&t=4358 |
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| Author: | gianfr90 [ Mon Sep 07, 2020 1:32 pm ] |
| Post subject: | lsfitlinear - fit non linear function via basis function |
Hello everyone, I'd like to use the lsfitlinear C++ function to fit a fourth order polynomial on my input data X=(x1,x2) that are in R^2. I set the y vector to contain the N sample values (expermiental data) and the FMatrix (NxM) to contain the basis function that is the fourth order polynomial of each input sample. So a generic row of FMatrix is: [1, x1, x2, x1^2, x2^2, x1x2, x1^3, x2^3, x1x2^2, x2x1^2, x1^2x2^2, x1^3x2, x2x1^3, x1^4, x2^4]. The lsfitlinear() function returns ok but the coefficient vector contains all 0's. Could anyone tell me if I'm wrongly setting the problem up? Thanks! |
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| Author: | Bbllaaddee [ Mon Oct 05, 2020 9:29 am ] |
| Post subject: | Re: lsfitlinear - fit non linear function via basis function |
Can you provide a part of your code so that one can see how you're doing it? |
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