[+chat, -programming]

I recommend reading through Mike Cowlishaw's material on algorism,
http://speleotrove.com/decimal/; binary floating point isn't the only game
in town (as our friendly neighbourhood x: will tell you).

I've always had a lot of time for Rexx's approach.

/M

On Thu, Sep 21, 2017 at 9:30 AM, Erling Hellenäs <[email protected]>
wrote:

> 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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>
>
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