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 ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
