I'm busy trying to optimize a model that predicts the trajectory of a projectile. I have two parameters that needs to be optimized, drag coefficient and a compensation factor (Kv).
I'm comparing the ground height, maximum height reached and chronograph velocity of the model to that obtained during experiments. I need to reduce the %error between these three parameters as much as possible. I considered using "fminsearch" but cannot see how this wil work.
Any advice on how I would proceed with this and where to start instead of manually iterating the model?
Thanks in advance.