I am trying to supplement a simple beam analysis with some uncertainty quantification calculations. I thus have a dataset of 100 [beam width, beam height, beam length, Young’s modulus, force] samples, represented in GH as a datatree/in GH Python as a list of lists.
I would like to feed this into Karamba and get the corresponding dataset of 100 [displacement, stress] results. How can I do this efficiently, i.e. by not duplicating the same model with different input parameters 100 times?