Hi, I'm sorry to ask this question without more information, but I'm hoping you can give me an idea what more information I need.
Some of us got very interested in using Mingw-w64 as the standard compiler for Python numerical tools such as numpy and scipy: https://github.com/numpy/numpy/wiki http://www.mail-archive.com/numpy-discussion@scipy.org/msg44967.html One question that came up was the accuracy of the mingw exp function: http://www.mail-archive.com/numpy-discussion@scipy.org/msg44950.html I believe this is implemented here: http://sourceforge.net/p/mingw-w64/code/HEAD/tree/trunk/mingw-w64-crt/math/exp.def.h It looks as if this implementation is slightly less accurate than other implementations on OSX and Linux: http://www.mail-archive.com/numpy-discussion@scipy.org/msg44987.html Specifically, the Linux implementation achieves 100% floating point accuracy, whereas the Mingw-w64 implementation gets about 80% of values exactly (floating point) correct, with the remainder off by one unit at the last place (ULP). I writing to ask whether I should investigate this further to see if another implementation would give better accuracy for similar speed. Or do y'all consider the current accuracy good enough? Cheers, Matthew ------------------------------------------------------------------------------ "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE Instantly run your Selenium tests across 300+ browser/OS combos. Get unparalleled scalability from the best Selenium testing platform available. Simple to use. Nothing to install. Get started now for free." http://p.sf.net/sfu/SauceLabs _______________________________________________ Mingw-w64-public mailing list Mingw-w64-public@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/mingw-w64-public
