Closed charlesrocabert closed 1 month ago
This should check, if the Gradient is "0" right? Or do I miss something?
Yes. However I am not sure of the behavior of this stop criteria. I think it is better to check for changes in $\mu$ directly
Yes. However I am not sure of the behavior of this stop criteria. I think it is better to check for changes in μ directly
Ok , right now I have a min. gradient of "-9.64858268e-06" for model A, which is veery close to 0. But I still did it with the "GCC_f check". I will try it with the μ changes. But is this gradient value correct? For Model A :
GCC_f is [ 0.00000000e+00 , -9.64858268e-06], f is [1. , 0.81269166] v is [912.25600275 , 741.38284929].
I can't tell. You need to plot the trajectories through time. What is the value of $\mu$? How does it increase through time? Try to generate some plots with matplotlib
I think this is ok? Or should the growthrate be waay higher?
Correct!
Ok, I am relieved :).
Finalize a first version of the gradient ascent function: