> You can look at polynomial inverses another way: (This is already getting out of my depth.)
> Evaluation and interpolation are inverses. Here is a simple example. x > L y produces the polynomial with values y at points x using > Lagrange interpolation. But if you're saying there is another meaningful definition for p.^:_1 then great! Let's use that. Or let's discuss our alternatives. I'm really more interested in knowing why an error is better than an arbitrary-but-valid result. -Dan PS: If you (or the rest of the Forum) like, we can discuss this off-line. ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
