I'm trying to fit some parameters to the data of multiple slightly different experiments.
I've written a function which returns the sums of the error for all experiments.
The function which has to be minimized does the following:
1) Set parameters for the model ODE based on the input parameters
2) calculate the difference (numeric solution of ODE <-> experimentel data)
3) repeat step 1+2 for all experiments
4) return the sum of all differences
The function works as aspected. But when I try to minimize it by calling:
I got an error:
"Error, (in dsolve/numeric/process_parameters) parameter values must evaluate to numeric, got A = A"
For some reason Maple isnt able to set the new parameters of the ODE.
Anyone got an idea how to fix this?
Thanks in advance.