On Tue, 1 Apr 2008, harryos apparently wrote: > i need to calculate > wk=uk o (L-Psi) > where > uk=a vector of size (1 X N^2) > o =scalar product > l,Psi=vectors of (N^2 X 1) > i have an ndarray U of shape(M X N^2)where uk is one of the rows , and > L of shape (M X N^2) where l.transpose() is one of the rows,
Your explanation is not fully clear to me, but perhaps the following will help. #dummy values rows = 2 cols = 3*3 U = numpy.ones((rows,cols)) + [[0],[1]] L = numpy.random.random((rows,cols)) - 0.5 Psi = numpy.ones((cols,1)) #computation numpy.dot(U,L.transpose() - Psi) hth, Alan Isaac _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
