On Thu, Jul 31, 2008 at 6:43 PM, Zsbán Ambrus <[EMAIL PROTECTED]> wrote:
> On Fri, Aug 1, 2008 at 12:11 AM, Raul Miller <[EMAIL PROTECTED]> wrote:
>> One way of getting an idea of the magnitude of numerical errors
>> is to find the polynomial values at the indicated roots
>> err=: p. 1 {:: p.
>> err _1 1 1
>> 2.22045e_16 _1.11022e_16
>
> That may work as a quick test, but I think there are special
> polynomials where you get incorrect coefficients even if you use the
> best possible floating-point approximation for the roots.
I would think that "numerical errors" would describe those cases
rather nicely. But I do recognize that there are different kinds
of numerical errors.
--
Raul
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