Why Numpy and Scipy QR decomposition give me different values?
I have the following vector. x = np.array([[ 0.87695113], [ 0.3284933 ], [-0.35078323]]) When I call numpy version of qr from numpy.linalg import qr as qr_numpy qr_numpy(x)…
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I have the following vector. x = np.array([[ 0.87695113], [ 0.3284933 ], [-0.35078323]]) When I call numpy version of qr from numpy.linalg import qr as qr_numpy qr_numpy(x)…