On Mon, Mar 16, 2009 at 5:21 AM, Ahmed Fasih <wuzzyv...@gmail.com> wrote: > > Greetings. This might not qualify as interesting or relevant, but for > my own research, I wrote a Sage app to calculate via Monte Carlo > approximation the Cramer-Rao bounds for estimating certain target > parameters from synthetic aperture radar data. MPMath's arbitrary- > precision float functionality and quadrature integration routines were > essential (I had integrands needing 30-200 decimal digits of > precision). The @parallel decorator worked fantastically on our 4- and > 8-core boxes. The app used Numpy as well. We haven't published results > from this yet but will in the coming few months. > > MPMath (and it being nicely packaged in Sage via SymPy) made this > application possible---I couldn't find support for high-precision math > in Matlab so I can't really benchmark its speed. There may be better > ways to solve this problem than the method I chose (Monte Carlo + > numerical integration) so it might not be of interest to SIAM but it > has helped us answer some of our research questions. >
As an aside, I will be funding the author of mpmath to work fulltime this summer on improving mpmath. William --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to sage-devel@googlegroups.com To unsubscribe from this group, send email to sage-devel-unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sage-devel URLs: http://www.sagemath.org -~----------~----~----~----~------~----~------~--~---
