man, 22 03 2010 kl. 10:21 +0100, skrev Michael Creel: > Besides this, I also added checks for ensuring that the > function > actually returns 'double's. > > There are quite a few such checks. Don't you think that just the first > would be sufficient? If the function returns a double at x, it will > pretty much for sure return a double at x plus or minus a small delta. > Maybe a check at the end, making sure that 'derivative' is a matrix of > doubles would be ok.
In 99.9% of the cases it will be just fine to only check once. The potential problem is due bad user functions, such as function retval = myhessian (x) if (x > 0) retval = 1; else retval = [0, 1]; endfunction In such silly cases I guess you need the error checks. Perhaps it can be done more efficiently than what I did, though. BTW. why is this function implemented in C++? Does it provide superior speed compared to an m-file implementation? Søren ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Octave-dev mailing list Octave-dev@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/octave-dev