It would help me follow this discussion if it were broken up into pieces: - what is being asserted as first principles for `dot` (e.g., what mathematical understanding)? - to what extent do other important implementations (e.g., Mathematica and Julia) deviate from the proposed mathematical understanding? - were the motivations for any deviations adequate (e.g., supported by strong use cases)?
An example is the discussion of whether scalar multiplication of a matrix should be represented by * or by a new operator (e.g., @). I am personally most comfortable with the idea that a new matrix multiplication operator would not handle scalar multiplication or violate tensor product rules (perhaps I am influenced by Mathematica), but I am not prepared to argue the principles of such choices, and would appreciate hearing from those who are. Thanks, Alan Isaac _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
