On Mar 24, 4:26 pm, Michael <[EMAIL PROTECTED]> wrote:
> What is the recommended way to handle Octave functions with multiple
> return values in Sage?
>
> Like Magma, Octave functions can return multiple values. Working with
> such Magma functions is documented in the Sage documentation (http:/
The pylab version would be something like this:
import pylab
pylab.close()
y = random.standard_normal((1,))
n, bins, patches = pylab.hist(y, 100)
pylab.setp(patches, 'facecolor', 'g')
pylab.savefig('histogram',dpi=72)
pylab.close()
Here is a bit more elaborate version for combining two diffe
VAkaras Liutinkevicius wrote:
> How to get non-axis aligned ellipsoid?
>
> If I do this:
> sage: a, b = var('a,b')
> sage: fx = 3*cos(b)*cos(a)
> sage: fy = 2*cos(b)*sin(a)
> sage: fz = sin(b)
> sage: P = parametric_plot3d([fx,fy,fz], (b, -pi/2, pi/2), (a, -pi, pi),
> frame=False)
> sage: P.show
How to get non-axis aligned ellipsoid?
If I do this:
sage: a, b = var('a,b')
sage: fx = 3*cos(b)*cos(a)
sage: fy = 2*cos(b)*sin(a)
sage: fz = sin(b)
sage: P = parametric_plot3d([fx,fy,fz], (b, -pi/2, pi/2), (a, -pi, pi),
frame=False)
sage: P.show()
I get the same:
sage: fx = cos(b)*cos(a)
sage:
On Tuesday 25 March 2008, William Stein wrote:
> On Tue, Mar 25, 2008 at 6:44 AM, Martin Albrecht
>
> <[EMAIL PROTECTED]> wrote:
> > This should be R's home base:
> >
> > # first we compute some data
> > b = 10
> > st = []
> > for i in range(500):
> > A = random_matrix(ZZ,160,160, x=-2**b,
On Mar 25, 8:36 am, "Hector Villafuerte" <[EMAIL PROTECTED]> wrote:
> On Tue, Mar 25, 2008 at 7:12 AM, DuaneKaufman <[EMAIL PROTECTED]> wrote:
>
> [...]> I would like the image to be stored _with_ (or as part of) the
> > worksheet, on the server, so it is available for anyone who views the
> >
On Tue, Mar 25, 2008 at 6:44 AM, Martin Albrecht
<[EMAIL PROTECTED]> wrote:
>
> This should be R's home base:
>
> # first we compute some data
> b = 10
> st = []
> for i in range(500):
> A = random_matrix(ZZ,160,160, x=-2**b, y=2**b)
> t = cputime()
> E = A.echelon_form()
> st.append(
On Mar 25, 2:18 am, continuum121 <[EMAIL PROTECTED]> wrote:
> Hi!
>
> I have a problem. Here is its formulation. I work in some polynomial
> ring - lets say
> R,(x,y) = PolynomialRing(QQ, 2, 'xy', order='lex').objgens()
> and consider ideal in R
> I = ideal(x+y^3-2,y+x^3-2)
> then I calculate grob
This should be R's home base:
# first we compute some data
b = 10
st = []
for i in range(500):
A = random_matrix(ZZ,160,160, x=-2**b, y=2**b)
t = cputime()
E = A.echelon_form()
st.append(cputime(t))
#now we plot a histogram using R
from rpy import r
r.png('histogram.png',width=640,heig
On Tue, Mar 25, 2008 at 7:12 AM, DuaneKaufman <[EMAIL PROTECTED]> wrote:
[...]
> I would like the image to be stored _with_ (or as part of) the
> worksheet, on the server, so it is available for anyone who views the
> worksheet.
>
> I hope that is clear enough. Thanks for the suggestion though
On Mar 25, 7:18 am, Marshall Hampton <[EMAIL PROTECTED]> wrote:
> I would be interested in learning other ways to do this, but here is
> one way. You can include arbitrary html with the html command. So
> for example, to show a picture of a steam engine from wikipedia you
> could do:
>
> html
I would be interested in learning other ways to do this, but here is
one way. You can include arbitrary html with the html command. So
for example, to show a picture of a steam engine from wikipedia you
could do:
html('http://upload.wikimedia.org/wikipedia/commons/9/9e/
Maquina_vapor_Watt_ETSI
If getting numerical roots is sufficient, then you might want to check
out the optional phcpack package. I am working on a more full-
featured interface for sage-2.11 that classifies roots of
multivariable polynomial systems.
Phcpack is be able to compute roots for systems where Groebner bases
Hi,
I have looked through the documentation for the Sage notebook, but I
couldn't find any information on how to embed arbitrary images in a
notebook.
Let's say I have a calculation I want to illustrate, and I would like
a pictorial representation of the physical system (indicating lengths,
angl
It might work if you try coercing f = B[0] first into
R2. = PolynomialRing(CC, 2, 'xy')
then applying factor or whatever to R2(f). I haven't tried it with your
problem but that general idea has worked for me in similar situations.
On Tue, Mar 25, 2008 at 5:18 AM, continuum121 <[EMAIL PROTECTED
Hi!
I have a problem. Here is its formulation. I work in some polynomial
ring - lets say
R,(x,y) = PolynomialRing(QQ, 2, 'xy', order='lex').objgens()
and consider ideal in R
I = ideal(x+y^3-2,y+x^3-2)
then I calculate grobner basis for ideal I
B = I.groebner_basis(); B
B[0] is univariate polynomi
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