If you did this you'd need to tell maxima to assume various things about
the variables (real, in between floatvalue - epsilon and floatvalue +
epsilon...).  I don't know maxima well enough to determine how feasible
this idea is if you made such assumptions, but it's worth investigating.
David

On Tue, Jun 12, 2012 at 8:15 PM, Eviatar <eviatarb...@gmail.com> wrote:

> Yes, but I'm saying that that shouldn't occur if we want to maintain
> consistency,
>
> I don't know how feasible this is, but due to this and other Maxima
> precision issues <http://trac.sagemath.org/sage_trac/ticket/11643>, would
> it be possible to replace floating-point numbers with variables before
> passing them off to Maxima, and then substituting them back?
>
>
> On Tuesday, 12 June 2012 03:40:32 UTC-7, Volker Braun wrote:
>>
>> In the maxima interface we are always converting floating-point numbers
>> into exact fractions. This is why solve behaves in the way you describe.
>>
>>
>>
>> On Tuesday, June 12, 2012 1:47:09 AM UTC+1, Eviatar wrote:
>>>
>>> solve has inconsistent behaviour when using exact numerical
>>> representations of numbers.
>>>
>>> For example:
>>>
>>> sage: solve(sin(x) == 0.5, x)
>>> [x == 1/6*pi]
>>> sage: arcsin(0.5)
>>> 0.523598775598299
>>>
>>> sage: solve(log(x) == 0.5, x)
>>> [x == sqrt(e)]
>>> sage: e^0.5
>>> 1.64872127070013
>>>
>>> Shouldn't this be consistent? It seems to me that returning
>>> approximations makes more sense, because that's what all the functions do.
>>>
>>  --
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