I have tested out the $\mu$ - alteration criteria. I have noticed, that there is a difference in max. growthrate and protein between the trajectory with and without this criteria.
The $\mu$-criteria I am talking about:
Without the $\mu$-criteria (checking if gradient = 0):
With the $\mu$-criteria:
As you can see, there is a small difference in $\mu$ but a rather "big" difference in Protein.
What should I do about it and what would be more realisitc and representative in this case?
I thought of decreasing the "convergance tolerance". Or do these small differences matter?
Ok, i have just adjusted the stable count, so the tragectory wouldnt stop before consistency and gradient =0.
It gives the same results now for both versions.
I have tested out the $\mu$ - alteration criteria. I have noticed, that there is a difference in max. growthrate and protein between the trajectory with and without this criteria.
The $\mu$-criteria I am talking about:
Without the $\mu$-criteria (checking if gradient = 0):
With the $\mu$-criteria:
As you can see, there is a small difference in $\mu$ but a rather "big" difference in Protein. What should I do about it and what would be more realisitc and representative in this case? I thought of decreasing the "convergance tolerance". Or do these small differences matter?