Bill Baxter Wrote: > If I had the time I'd love to play around with automatic differentiation in D. > http://en.wikipedia.org/wiki/Automatic_differentiation > > I played around with it a bit in C++ before, using the operator > overloading approach, but didn't go much beyond basic polynomials with > it. > The page above offers something of a challenge for a potential D > implementation: > """ > Operator overloading for forward accumulation is easy to implement, > and also possible for reverse accumulation. However, current compilers > lag behind in optimizing the code when compared to forward > accumulation. > """ > > I wonder if the fancy compile-time machinery offered by D could enable > a more efficient implementation? > > Ultimately I'd be interested in using AD for implementing physics-y > things where complicated derivatives end up being necessary all the > time. > Here's a paper where they made use of a simple AD implementation for > doing thin shell simulations: > http://www.cs.columbia.edu/cg/pdfs/10_ds.pdf > You can also find their C++ AD code on the caltech site somewhere. > > Just throwing this out there, because occasionally there are folks > looking for little self-contained projects to undertake. And because > I think AD is nifty. > > --bb
Bill, D4 maybe. In the present mood I think you are spitting in the wind! Steve
