On Sat, Aug 23, 2008 at 5:35 PM, Fredrik Johansson <[EMAIL PROTECTED]> wrote: > > Hi, > > Mpmath version 0.9 is now available from the website: > http://code.google.com/p/mpmath/ > > It can also be downloaded from the Python Package Index: > http://pypi.python.org/pypi/mpmath/0.9 > > Mpmath is a pure-Python library for arbitrary-precision > floating-point arithmetic that implements an extensive set of > mathematical functions. It can be used as a standalone library > or via SymPy (http://code.google.com/p/sympy/). > > The most significant change in 0.9 is that mpmath now transparently > uses GMPY (http://code.google.com/p/gmpy/) integers instead of > Python's builtin integers if GMPY is installed. This makes mpmath > much faster at high precision. Computing 1 million digits of pi, > for example, now only takes ~10 seconds. > > Extensive benchmarks (with and without GMPY) are available here: > http://mpmath.googlecode.com/svn/bench/mpbench.html > > Credit goes to Case Van Horsen for implementing GMPY support. > > There are many new functions, including Jacobi elliptic functions > (contributed by Mike Taschuk), various exponential integrals, > Airy functions, Fresnel integrals, etc. Several missing basic > utility functions have also been added, and Mario Pernici has > taken great care to optimize the implementations of various > elementary functions. > > For a more complete changelog, see: > http://mpmath.googlecode.com/svn/trunk/CHANGES > > Bug reports and other comments are welcome at the issue tracker: > http://code.google.com/p/sympy/issues/list > > or the mpmath mailing list: > http://groups.google.com/group/mpmath > > Thanks to all who contributed code or provided feedback for > this release!
Great job! As I suggested on IRC, maybe a nice area to try is to use Cython to speed mpmath up to the level of other similar libraries, like mpfr. What I like on it is that it's hackable and portable, being in pure python, and for some things it is even faster than Sage: E.g. in sympy+gmpy: In [3]: time a = pi.evalf(10**6) CPU times: user 5.13 s, sys: 0.04 s, total: 5.17 s Wall time: 5.19 s Sage 3.1.1: sage: time a = pi.n(digits=10**6) CPU times: user 14.06 s, sys: 0.06 s, total: 14.12 s Wall time: 14.34 s So while mpfr is probably faster for most other things, mpmath is a good library as default in sympy. When we incorporate our new core in sympy in coming weeks, I am sure we could do some interesting benchmarks with symbolics + numerical evaluation. Ondrej --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to sage-devel@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sage-devel URLs: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---
