I'd love to be able to do automatic differentiation using numpy ndarrays. There are some AD libraries in C++ that work through operator overloading on custom numeric types (e.g. "adouble"). I have no experience in in creating custom ndarrays, but would it be a huge project (or even possible) to make a custom ndarray that used such augmented numeric types? From reading Jonathan Wang's thread (http://www.mail-archive.com/numpy-discussion@lists.sourceforge.net/msg03487.html),
it seemed like ndarrays with custom numeric types are still a work in progress. I'm thinking specifically of the ADOL-C library, but if people with experience with various AD libraries have a better recommendation, I'd be all ears. I've also looked at CPPAD, but it doesn't seem to operate nearly as transparently. -- Matt ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
