Hi, I just confirmed Stefan's answer on one of the examples in http://www.mathworks.co.jp/matlabcentral/newsreader/view_thread/262996
matlab: A = randn(100,2)*[2 0;3 0;-1 2]'; A = A + randn(size(A))/3; [U,S,V] = svd(A); X = V(:,end) python: from numpy import * A = random.randn(100,2)*mat([[2,3,-1],[0,0,2]]) A = A + random.randn(100,3)/3.0 u,s,vh = linalg.linalg.svd(A) v = vh.conj().transpose() print v[:,-1] It works! Thanks Peter for bringing this up and Stefan for answering! Huan _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
