Well, it’s finally possible to implement those in a nice, general, efficient, way. The analog for PDEs of ordinary special functions for ODEs. I think it’s been nearly 20 years since I started talking about "PDE special functions". How does one specify boundaries, and equations, cleanly and efficiently? This is one of those areas where doing it well requires already having a huge stack of other capabilities. Well, other keynotes at this conference are covering some of the specific things that are in our R&D pipeline. Probably because they are based on incredibly robust core principles, like unity of design, and automation of operation. In some areas, there’s a decade or decade-and-a-half cycle where individual algorithms end up being swapped out.īut the overall structures have been incredibly robust. That’s not what’s happened with Mathematica. (You can see the first part in our series of highlights from Stephen’s keynote here.) The following video clip includes a few examples of what our R&D team has in the pipeline for future versions of Mathematica. This year, he said our development pace has become even faster. Stephen Wolfram kicked off the International Mathematica User Conference 2009 with an inside look at what he calls an incredible research and development pipeline for Mathematica.ĭuring last year’s keynote address, Stephen surprised attendees with news about the release of Mathematica 7-just 18 months after Mathematica 6.
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