Thanks Charles and Josh, but my question about the documentation goal remains.
Here is how this came up. I mentioned to a class that I have using NumPy that solving Ax=b with an inverse is computationally wasteful and also has accuracy problems, and I recommend using `solve` instead. So the question arises: what algorithm does `solve` use? I speculate Gaussian elimination, but cannot get a quick answer from `help` nor from the web. In contrast, if they are using Matlab, they look at <URL:http://www.mathworks.com/access/helpdesk/help/techdoc/index.html?/access/helpdesk/help/techdoc/ref/arithmeticoperators.html&http://www.mathworks.com/access/helpdesk/help/techdoc/ref/inv.html> which tell them the algorithm is Gaussian elimination with partial pivoting and provide a link <URL:http://www.mathworks.com/access/helpdesk/help/techdoc/index.html?/access/helpdesk/help/techdoc/ref/arithmeticoperators.html&http://www.mathworks.com/access/helpdesk/help/techdoc/ref/inv.html> to algorithm details. So my question is not just what is the algorithm but also, what is the documentation goal? Thanks, Alan _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
