20.11.2012 15:24, Virgil Stokes kirjoitti: [clip] > I am aware that they are both correct; but, if you are doing covariance > QR decomposition then you almost surely are interested in the positive > results (which is the default for MATLAB and most papers/books on this > subject).
I get exactly identical results from MATLAB (R2011b), Octave, Numpy, and Scipy. Can you give an example matrix which behaves differently? Note that Numpy and Scipy return exactly what LAPACK's *GEQRF routines give, and Octave seems also to do this. -- Pauli Virtanen _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
