I know this is probably not so important in the grand scheme of things but I was helping my DIL (daughter in law) with numerical maths class (electrical engineer) and at every step I found Matlab/Octave with their "major" commands obscured what was happening. For example, she needed to approximate functions using a least squares linear approximation. In matlab you can use "A\B" even though this does not make sense. By using numpy.linalg.lstsq(A,B) I actually understood and was able to explain the principles. http://sagemath.wikispaces.com/Least+Squares+Approximation Warm regards, Linda
On Monday, 4 March 2013 17:55:42 UTC+1, Luis Finotti wrote: > > Dear all, > > I will give a couple of informal talks on Sage. A question that will > certainly be asked is how Sage compares with MATLAB, probably in regards of > performance and functionality in modeling and other applied math > applications. (It seems that MATLAB is widely used here.) Since this is > not my area (and I have not used MATLAB) I thought I should ask in case > some have experience with both. > > If I remember well, Sage can use/interact with SciPy and or NumPy in these > applications, and my question about sage does not exclude the use of those > (within Sage). > > Thanks, > > Luis > -- You received this message because you are subscribed to the Google Groups "sage-support" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-support+unsubscr...@googlegroups.com. To post to this group, send email to sage-support@googlegroups.com. Visit this group at http://groups.google.com/group/sage-support?hl=en. For more options, visit https://groups.google.com/groups/opt_out.
