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 ------------------------------------------------------------------------- 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
