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.
My question is which of the arbitrary precision implementations will most easily handle linear algebra? I don't care about speed, just ease of use. Online tutorials for arbitrary precision linear algebra operations would be useful. For example, it looks like mpmath can handle matrix operations http://fredrik-j.blogspot.com/search?q=matrix but I was unable to find a clear tutorial. The tutorials for most of the arbitrary precision implementations demonstrate simple scalar examples. Thanks in advance -- http://mail.python.org/mailman/listinfo/python-list
