http://sage.math.canterbury.ac.nz/home/pub/246 (Sorry posted notebook and
not published version.)
Linda, I wasn't able to access your notebook.
>
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Thanks, John. That worked just fine for me. After posting, I realized PNG
was my problem, but none of the other formats compatible with savefig are
animate-able either, so I was at a loss.
Linda, I wasn't able to access your notebook.
It would be great if there were a help document/tutorial de
Setting xmin/xmax for parametric_plot doesn't seem to do anything, but
ymin/ymax work as expected. What am I doing wrong?
t = var('t')
parametric_plot( (cos(t), sin(t)), (t, 0, 2*pi), xmin=-2, xmax=2, ymin=-2,
ymax=2)
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On Sun, Jan 20, 2013 at 1:49 PM, Jose Guzman wrote:
> Would anyone we so kind to provide a minimal example with Sage?
There are examples in fft.pyx and dft.py in the docstrings.
>
>
> On 20 January 2013 19:48, David Joyner wrote:
>>
>> On Sun, Jan 20, 2013 at 12:29 PM, Santanu Sarkar
>> wrot
Would anyone we so kind to provide a minimal example with Sage?
On 20 January 2013 19:48, David Joyner wrote:
> On Sun, Jan 20, 2013 at 12:29 PM, Santanu Sarkar
> wrote:
> > Dear all,
> > We know using Fast Fourier Transform we can evaluate a polynomial f(x)
> > of degree n at n points x_1, .
On Sun, Jan 20, 2013 at 12:29 PM, Santanu Sarkar
wrote:
> Dear all,
> We know using Fast Fourier Transform we can evaluate a polynomial f(x)
> of degree n at n points x_1, .., x_n in O(n) time. Is it implemented in
> Sage?
It is in the gsl module
http://hg.sagemath.org/sage-main/file/9519a7bb2f
On 2013-01-20 16:38, Jeroen Demeyer wrote:
> This looks like
> http://trac.sagemath.org/sage_trac/ticket/13672
This was due to a bad call to PARI (a ring object was passed as variable
name where PARI expects a string).
Needs review:
http://trac.sagemath.org/sage_trac/ticket/13672
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On 2013-01-20, Jeroen Demeyer wrote:
> This looks like
> http://trac.sagemath.org/sage_trac/ticket/13672
indeed:
sage: K.=GF(5)[]
sage: R.=K[]
sage: S.=GF(5)[]
sage: f=w^10+2*w^6+2*w^5+w+2
sage: S(f).factor()
(y + 3)^6 * (y^4 + 2*y^3 + 4*y^2 + 3*y + 3)
sage: (f-t).discriminant().factor()
(4) * t^
On a related note, it is usually a bad idea to create polynomial rings over
polynomial rings if you really want multivariate polynomials. If anything,
the proper multivariate polynomials will be much faster:
sage: R. = GF(5)[]
sage: f = x^10+2*x^6+2*x^5+x+2-t
sage: f = x^10+2*x^6+2*x^5+x+2
This looks like
http://trac.sagemath.org/sage_trac/ticket/13672
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On 2013-01-20 16:25, Jeroen Demeyer wrote:
> On 2013-01-20 15:56, Kannappan Sampath wrote:
>> In Sage 5.5 and the 5.6.5c1, I get 4 as the output.
> ...which is still wrong, the correct result would be 0. So we replaced
> a wrong answer by a different wrong answer, progress!
I meant to say, the di
On 2013-01-20 15:56, Kannappan Sampath wrote:
> In Sage 5.5 and the 5.6.5c1, I get 4 as the output.
...which is still wrong, the correct result would be 0. So we replaced
a wrong answer by a different wrong answer, progress!
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Sorry, I meant to say Sage version 5.4.1.
In Sage 5.5 and the 5.6.5c1, I get 4 as the output. May be upgrade Sage? :)
>
I just updated to 5.5, with the same result as you. So the OLD bug was
replaced by a NEW bug, because the discriminant of f-t must have the root
0, so it cannot be a nonzero c
Hello,
sage: version()
'Sage Version 5.5, Release Date: 2012-12-22'
On Sun, Jan 20, 2013 at 7:36 PM, Peter Mueller wrote:
> I believe the following Sage code (version 4.5.1) exhibits a bug:
>
> sage: K.=GF(5)[]
> sage: R.=K[]
> sage: S.=GF(5)[]
> sage: f=x^10+2*x^6+2*x^5+x+2
> sage:
> sage: S(f)
I believe the following Sage code (version 4.5.1) exhibits a bug:
sage: K.=GF(5)[]
sage: R.=K[]
sage: S.=GF(5)[]
sage: f=x^10+2*x^6+2*x^5+x+2
sage:
sage: S(f).factor()
(y + 3)^6 * (y^4 + 2*y^3 + 4*y^2 + 3*y + 3)
The code and its up to here correct results show that f is inseparable, so
0 should
On Sunday, January 20, 2013 6:27:16 AM UTC, Dima Pasechnik wrote:
> For serious statistics work, one can just use R (which is distributed
> with Sage, by the way). http://www.r-project.org/
>
Or if you want to keep things pythonic just install the python data
analysis library with
easy_instal
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