Frederik Ziebell

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seen Nov 18 '13 at 22:48

Oct
13
comment Fitting multiple functions with shared parameters to data
@fgp: Yes, but the size $n$ of the sample behind each $y_k^{(i)}$ is with 5 very small. So it is safe to assume that exponential decay is a good approximation of reality in this case.
Oct
12
comment Fitting multiple functions with shared parameters to data
@fgp Thanks for your reply. All $f_i$ are bounded and non-linear in their argument. Perhaps I should mention, that I know the errors of all the $y_j^{(i)}$ and yes I mean exactly zero (with error zero). Maybe it is worth mentioning that if $y_j^{(i)}$ is zero, then so are all $y_k^{(i)}$ for all $k>j$ and the corresponding $f_i$ is a function of exponential decay.
Oct
12
asked Fitting multiple functions with shared parameters to data
Jul
16
awarded  Student
Jul
16
asked Recommend literature for parabolic PDEs.