On Mar 2, 4:48 pm, Nobody <nob...@nowhere.com> wrote: > On Wed, 02 Mar 2011 06:42:22 -0800, Ben123 wrote: > > Hello. I have a written Python program which currently uses numpy to > > perform linear algebra operations. Specifically, I do matrix*matrix, > > matrix*vector, numpy.linalg.inv(matrix), and linalg.eig(matrix) > > operations. Now I am interested in allowing arbitrary precision. I > > have tried gmpy, bigfloat, mpmath, and decimal but I have been unable > > to easily implement any with my current program. I suspect I have to > > change some commands but I am unsure what. > > numpy is implemented in C, and is limited to the language's primitive > types. It provides a "float96" type which I would guess is actually a > "long double" (80 bits on x86). You can't extend numpy's precision by > using a separate arbitary-precision library.
Hello. To clarify, I don't need numpy explicitly. I'm looking for an arbitrary precision library which can also do linear algebra operations: matrix*matrix, matrix*vector, matrix inverse, and eigenvalues of matrix. -- http://mail.python.org/mailman/listinfo/python-list
