What is the best way to fit parameters in the pdesolver to a set of datapoints?

I have a set of real data and I am using the pdesolver to simulate a model that is fit to it. The pdesolver takes in several numerical parameters and I am hoping to optimize these values to have the best fit to the data. What is the best way to approach this problem?

Answer 1

[Ravi Kumar]

You might need to use Optimization Toolbox in conjunction with PDE Toolbox to setup the objective function and constraints. Would you be able to share more details of your model. Let me know if you prefer to share the information privately.

Regards,

Ravi