On 6 jun 2007, at 13.10, James Stroud wrote: > Hello All, > > I'm using numpy to calculate determinants of matrices that look like > this (13x13): > > [[ 0. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] > [ 1. 0. 1. 4. 1. 9. 4. 4. 1. 1. 4. 9. 4. 9.] > [ 1. 1. 0. 1. 4. 4. 9. 9. 4. 4. 1. 4. 1. 4.] > [ 1. 4. 1. 0. 9. 1. 4. 4. 9. 1. 4. 1. 4. 1.] > [ 1. 1. 4. 9. 0. 4. 4. 4. 1. 4. 1. 9. 4. 9.] > [ 1. 9. 4. 1. 4. 0. 4. 4. 9. 4. 1. 1. 4. 1.] > [ 1. 4. 9. 4. 4. 4. 0. 1. 1. 1. 9. 1. 9. 4.] > [ 1. 4. 9. 4. 4. 4. 1. 0. 4. 1. 9. 4. 4. 1.] > [ 1. 1. 4. 9. 1. 9. 1. 4. 0. 4. 4. 4. 4. 9.] > [ 1. 1. 4. 1. 4. 4. 1. 1. 4. 0. 9. 4. 9. 4.] > [ 1. 4. 1. 4. 1. 1. 9. 9. 4. 9. 0. 4. 1. 4.] > [ 1. 9. 4. 1. 9. 1. 1. 4. 4. 4. 4. 0. 4. 1.] > [ 1. 4. 1. 4. 4. 4. 9. 4. 4. 9. 1. 4. 0. 1.] > [ 1. 9. 4. 1. 9. 1. 4. 1. 9. 4. 4. 1. 1. 0.]] > > For this matrix, I'm getting this with numpy: > > 2774532095.9999971 > > But I have a feeling I'm exceeding the capacity of floats here. Does > anyone have an idea for how to treat this? Is it absurd to think I > could > get a determinant of this matrix? Is there a python package that could > help me? > > Many thanks for any answers. > > James > -- > http://mail.python.org/mailman/listinfo/python-list Are you sure NumPy return float results. As far as I know, it returns doubles (about 16 digits) ------------------------------------------------------ "Home is not where you are born, but where your heart finds peace" - Tommy Nordgren, "The dying old crone" [EMAIL PROTECTED]
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