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Plot[Evaluate[Prepend[y'[#] (x - #) + y[#] & /@ x0, y[x]]], {x, -10, 10}, PlotLegends -> "Expressions"]


I always struggle with clusters and I can't give you a full solution, but I'll share the setup code I use on our slurm cluster. Perhaps you can adapt it. It works even when you get a different number of cores on each node. I added some comments to it. This solution assumes that you set up things so that you can run arbitrary commands on any node using ssh ...


Maybe what you are looking for is LeafCount. TreeForm is also useful for visualizing expressions. TreeForm @ y


From the point of view of tensor analysis, a scalar has no dimensions at all. You can make your own function that reflects this: arrayDimensions[x_?ArrayQ] := Dimensions[x] arrayDimensions[x_] := {} arrayDimensions[{1, 2}] (* {2} *) arrayDimensions[a + b] (* {} *}

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