On Mon, Jan 19, 2009 at 14:43, Jonathan Taylor <jonathan.tay...@utoronto.ca> wrote: > Hi, > > When solving a quadratic equation I get that alpha = > -3.78336776728e-31 which I believe to be far below machine precision: > > finfo(float).eps > 2.2204460492503131e-16 > > But an if statement like: > > if alpha == 0: > ... > > does not catch this. Is there a better way to check for things that > are essentially zero or should I really be using > > if np.abs(alpha) < finfo(float).eps: > ...
Almost. You should scale eps by some estimate of the size of the problem. Exactly how you should do this depends on the problem, though. Errors accumulate in different ways depending on the operations you perform on the numbers. Multiplying eps by max(abs(array_of_inputs)) is probably a reasonable starting point. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
