Thanks for the answers.

I do not think I'm wrong when pointing to numerical issues, instead of only
the formal ones. A lot of people do not know the floating points : if you
do not know than 1.0/3 is not the same thing that 1/3, you can go in big
troubles. I will not say that SageMath is guilty but that when numerical
calculations are done, you have to be careful, and SageMath gives RIF than
can be useful instead of RField.

I will look at Wilinson's polynomial and rootfinding, but I'm also
interested in a link to bugs, and in results which are more fundamental to
the way the software works (like floating point precision loss).

Christophe BAL



2014-10-31 0:04 GMT+01:00 Richard Fateman <[email protected]>:

>
>
> On Wednesday, October 29, 2014 3:38:47 AM UTC-7, Christophe Bal wrote:
>>
>> Hello.
>>
>> I'm writing a french book about SageMathCloud and I'm looking for known
>> wrong results given by Sage or Sympy due to floats calculations, or due to
>> the formal method used. Do you know such things ? My idea is to show to new
>> user that a CAS or a numerical tool is not Math God.
>>
>
> Numerical calculation via SageMathCloud is certainly the wrong place to
> look.  As Gupta points out, numerical error happens rather independent of
> that.
>
> How would you react if I said...
>
> I'm writing an English book about French mille-feuille pastries and would
> like to know about  food poisoning. My idea is to show that you can die
> from desserts.
>
> In reality, I think you should have some very simple examples that
> distinguish between exact computation and (unstable) numerical calculation.
> The classic one is Wilkinson's polynomial and rootfinding.
>
>
>
>
>>
>> I've already posted this question on the Sage list without a lot of
>> success.
>>
>> Christophe BAL
>>
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