Hi all !
16 digits of precision and a range between 10^306 and 10^_306 is of
course quite much. Even if problems in theory exists, maybe in practice
they don't, or they are rare enough for most applications. I would
believe that people who are responsible for really important
calculations are also able to assure that their results are correct.
There are of course ways to estimate the errors and to do calculations
in ways that minimizes them. Anyway, I think its important to think
about these things now and then if you work with software development.
Cheers,
Erling
On 2017-09-21 16:39, Henry Rich wrote:
I don't know of any "random" results. There are inexact results
stemming from the approximations inherent in limited-precision
floating-point arithmetic. If those approximations cause problems in
your application, stay away from floating-point.
J does not conform to IEEE always; in particular 0^0 is 1. We think
that is an improvement on IEEE-754.
Henry Rich
On 9/21/2017 9:54 AM, Erling Hellenäs wrote:
We had problems with random results in another thread, so I looked at
this. It seems obvious that these problems exist. If you want you can
deny it of course. /Erling
Den 2017-09-21 kl. 15:44, skrev Raul Miller:
I would start by better understanding the specific problem I was
trying to solve.
(As opposed to coming up with a solution and then looking for a
problem that fits to it...)
Thanks,
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