I am looking for a source discussing the efficient tensor operations for so complex calculations. For example, in my last couple of projects we had to build n-dimensional tensors where each dimension is calculated based on complex operations. Something similar to:
For each dimension:
calculate complex equation
append result as a row in new tensor
Any reference would be appreciated since these operations cause very inefficient code and slow down processing.