(5) -> p5_f750 := p^750;
Type:
NemoUnivariatePolynomial(NemoInteger,x)
Time: 0.15 (EV) = 0.15
sec
(6) -> pp := p5_f750*p5_f750;
Type:
NemoUnivariatePolynomial(NemoInteger,x)
Time: 3.09 (EV) = 3.09
sec
(7) -> pp := p5_f750*p5_f750;
Type:
NemoUnivariatePolynomial(NemoInteger,x)
Time: 2.81 (EV) = 2.81
sec
(8) -> pp := p5_f750*p5_f750;
Type:
NemoUnivariatePolynomial(NemoInteger,x)
Time: 3.09 (EV) = 3.09
sec
For degree function, the chosen function differs. I have absolutely not
implemented polynomial arithmetic, a TODO thing.
Le sam. 11 mai 2024 à 21:25, Waldek Hebisch <de...@fricas.org> a écrit :
> On Sat, May 04, 2024 at 09:30:51AM +0200, Grégory Vanuxem wrote:
> > As a matter of fact, use of FLINT in FriCAS:
> >
> > (21) -> x:=x::NUP(NINT,"x")
> >
> > (21) x
> > Type:
> > NemoUnivariatePolynomial(NemoInteger,x)
> > Time: 0
> > sec
> > (22) -> p:=2*x+2*x^5+13*x^9
> >
> > (22) 13*x^9 + 2*x^5 + 2*x
> > Type:
> > NemoUnivariatePolynomial(NemoInteger,x)
> > Time: 0
> > sec
> > (23) -> p:=p^5;
> >
> > Type:
> > NemoUnivariatePolynomial(NemoInteger,x)
> > Time: 0
> > sec
> > (24) -> degree(p^750)
> >
> > (24) 33750
> > Type:
> > PositiveInteger
> > Time: 0.09 (EV) = 0.09
> > sec
> > (25) -> degree(p^750)
> >
> > (25) 33750
> > Type:
> > PositiveInteger
> > Time: 0.06 (EV) = 0.06
> > sec
>
> Hmm, I wonder what you are computing here. Could you give result
> (time and resulting number) for
>
> reduce(_+, map(length, coefficients(p^750)))
>
> assuming that 'length' and 'coefficients' are available for Nemo
> integeres/polynomials. Also, I wonder if you can monitor actual CPU time
> for this computation. I mean, if computation is delegated to a separate
> process then FriCAS will not know about time spent in another process
> and just report interface time. And one can split such computation
> into multiple cores, that reduces real time (if you have enough
> cores).
>
> Also, is this time for multiplication or for powering? For
> example, what happens if you do:
>
> p5_f750 := p^750;
>
> pp := p5_f750*p5_f750;
>
>
> --
> Waldek Hebisch
>
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