From: Robert K. <rob...@gm...> - 2006-08-25 18:02:49
|
Charles R Harris wrote: > Matrix rank has nothing to do with numpy rank. Numpy rank is simply the > number of indices required to address an element of an ndarray. I always > thought a better name for the Numpy rank would be dimensionality, but > like everything else one gets used to the numpy jargon, it only needs to > be defined someplace for what it is. "numpy rank" derives from "tensor rank" rather than "matrix rank". It's not *wrong*, but as with many things in mathematics, the term is overloaded and can be confusing. "dimensionality" is no better. A "three-dimensional array" might be [1, 2, 3], not [[[1]]]. http://mathworld.wolfram.com/TensorRank.html -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco |