Fitting multiple datasets to non-linear coupled ODE's - fminsearch
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I have attached my code for reference.
Essentially, I have two datasets: ch and cm; the former has an additional datapoint (a 12th day).
There are two unknown parameters, beta1 and beta2.
Essentially I want to fit my model to these datasets simultaneously, where I use the least-squares difference method to calculate the error [line 85-95].
When fitting to a single dataset, I understand the aim is to minimise the error. However, in this case I (maybe naively) have just computed a total error by adding these two together.
The code runs perfectly fine, I just wanted to make sure I was doing things correctly.
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Alan Stevens
el 26 de Nov. de 2020
Why not just use
errT=norm(cellHND - chND)+norm(cellLND - clND);
instead of looping through the sums.
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