Hi all, Mpmath 0.8 is now available and can be downloaded from the website: http://code.google.com/p/mpmath/
It is also available in the Python Package Index: http://pypi.python.org/pypi/mpmath/0.8 This version adds methods for oscillatory quadrature, accelerated summation of infinite series, limit computation, integration of ODEs, and constant recognition (similar to the Inverse Symbolic Calculator). There are several new mathematical functions, including the Lambert W function, elliptic integrals and various hypergeometric functions, plus a few new mathematical constants such as the golden ratio and Khinchin's constant. Various existing functions have also been tuned for accuracy and speed. A number of important bugfixes have been committed, including a workaround for a core bug in some versions of Python 2.4 that would break mpmath. The tests for machine float compatibility have also been edited to work on versions of Python compiled to use x87 float instructions. Finally, the documentation has been improved, and can now be converted to pretty HTML (as available on the website) using Sphinx. Many thanks to Mario Pernici for contributing high quality enhancements especially to the complex arithmetic and elementary functions (but also other parts of the code), and for helping out with debugging. Thanks also to Ondrej for his ODE solver code and debugging assistance, and to several other people who reported bugs, posted comments to the issue tracker, or provided other feedback. As usual, there are likely bugs, and the quicker they can be reported, the better. Bug reports can be sent to the issue tracker at http://code.google.com/p/mpmath/issues/list or the mpmath mailing list. Fredrik --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sympy" group. To post to this group, send email to sympy@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sympy?hl=en -~----------~----~----~----~------~----~------~--~---
