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Aug
20
comment Least squares fit with a trick
the model is dictated by the physics of the system. For each input set $x,y$ I measure $z$. I know that the system behaves as $z=\alpha x+\beta y+\alpha \beta$, and I would like to estimate $alpha$ and $\beta$ from the measurements.
Aug
20
comment Least squares fit with a trick
I don't need $c$, I only need $\alpha$ and $\beta$. $c$ (or \alpha\beta$) is there just because the model dictates it.
Aug
20
accepted Least squares fit with a trick
Aug
20
comment Least squares fit with a trick
This is what I was doing until now. The problem is once you estimate $c$ from the data, and it is not exactly $c =\alpha\beta$ but you have a small $\delta$, what do you do with the residue...
Aug
15
asked Least squares fit with a trick
Aug
15
accepted Quadratic fit check
Aug
11
accepted stepping on N-d hypercube
Aug
10
asked stepping on N-d hypercube
May
9
asked Quadratic fit check
Apr
28
accepted Kernel of matrices product
Apr
26
awarded  Editor
Apr
26
comment Kernel of matrices product
Thanks for the comment, edited.
Apr
26
revised Kernel of matrices product
added 100 characters in body
Apr
26
asked Kernel of matrices product
Jan
1
awarded  Scholar
Jan
1
accepted The relation between unknown (specific example)
Jan
1
awarded  Supporter
Jan
1
awarded  Student
Jan
1
asked The relation between unknown (specific example)