From: Sven S. <sve...@gm...> - 2006-08-14 19:59:04
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Hi, Satya Upadhya schrieb: >>>> from Numeric import * Well this list is about the numpy package, but anyway... > the power function is giving a resultant matrix in which each element of > matrix B is raised to the power of 0 so as to make it 1. But, taken as a > whole i.e. matrix B to the power of 0 should have given the identity > matrix. afaik, in numpy terms if you are dealing with a numpy array, such functions are elementwise by design. In contrast, if you have a numpy matrix (a special subclass of the array class) --constructed e.g. as mat(eye(3))-- then power is redefined to be the matrix power; at least that's the rule for the ** operator, not 100% sure if for the explicit power() function as well, but I suppose so. > > Also, what is the procedure for taking the log of an entire matrix > (log(A) where A is a matrix takes the log of every individual element in > A, but thats not the same as taking the log of the entire matrix) I don't understand what you want, how do you take the log of a matrix mathematically? -Sven |