On Apr 8, 5:10 pm, achrzesz wrote:
> This works for me:
> p1=plot(x^2, (x, -pi, pi),label="f")
> G=graphics_array(((p1,p1),(p1,p1)))
> G.show(figsize=[8,8])
>
Of course, that's not quite the same thing as a legend. Looks decent,
though.
- kcrisman
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> > Or simply legendre_P, legendre_Q
>
> Unfortunately, these functions do not support non integer values of n,
> i.e. they don't support generalised legendre functions, which is what
> I need.
Are gen_legendre_P and gen_legendre_Q okay? These are all used from
Maxima, as I recall.
- kcrisman
Most likely you don't have enough ram to store 101^5 temporary values.
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I was trying some functions to do root locus plots found on the net.
Doing this I found out that there seems to be something incomplete
about the scipy installation in sage.
from scipy.io.array_import import read_array
---
Im
So it seems that in Sage use_grobner is not as essential
as in Maxima
sage: maxima('load(to_poly_solver)')
sage: maxima('to_poly_solve([(x-5)^2+y^2-16, (y-3)^2+x^2-9], [x,y])')
%union()
sage: maxima('to_poly_solve([(x-5)^2+y^2-16, (y-3)^2+x^2-9],
[x,y],use_grobner=true)')
%union([x=-(9*sqrt(55)-13
Oops!
without "to_poly_solve='use_grobner=True'"
also works
On 11 Kwi, 13:37, achrzesz wrote:
> sage: solve([(x-5)^2+y^2-16, (y-3)^2+x^2-9],
> [x,y],to_poly_solve='use_grobner=True')
> [[x == -9/68*sqrt(55) + 135/68, y == -15/68*sqrt(5)*sqrt(11) +
> 123/68], [x == 9/68*sqrt(55) + 135/68, y == 15/
sage: solve([(x-5)^2+y^2-16, (y-3)^2+x^2-9],
[x,y],to_poly_solve='use_grobner=True')
[[x == -9/68*sqrt(55) + 135/68, y == -15/68*sqrt(5)*sqrt(11) +
123/68], [x == 9/68*sqrt(55) + 135/68, y == 15/68*sqrt(5)*sqrt(11) +
123/68]]
On 11 Kwi, 13:29, achrzesz wrote:
> to_poly_solve([(x-5)^2+y^2-16, (y-3
to_poly_solve([(x-5)^2+y^2-16, (y-3)^2+x^2-9], [x,y],
use_grobner=true);
works in wxmaxima 0.8.7 but does not in maxima_console()
On 11 Kwi, 13:06, achrzesz wrote:
> I'm not sure but:
> sage: solve(x==sqrt(x+1),x,to_poly_solve='use_grobner=True')
> [x == 1/2*sqrt(5) + 1/2]
>
> On 11 Kwi, 12:24,
I'm using the graph theory modules and I have a need to draw curved
edges in certain graphs. For example, to draw the complete graph K_4
as a planar graph, it's sometimes useful to draw a curved edge looping
around the main figure than to redraw the whole figure as a triangular
graph.
Currently, t
I'm not sure but:
sage: solve(x==sqrt(x+1),x,to_poly_solve='use_grobner=True')
[x == 1/2*sqrt(5) + 1/2]
On 11 Kwi, 12:24, ancienthart wrote:
> Now THAT seriously needs to be made clearer in the documentation, including
> some examples.
> Also, how to use use_grobner because use_grobner=True don't
Now THAT seriously needs to be made clearer in the documentation, including
some examples.
Also, how to use use_grobner because use_grobner=True don't work.
Joal Heagney
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sage-sup
hi,i am very thankful for entire team for developing such useful
software,but it worked very fine some time,
but let me tell my config first
:
windows-xp:32-bit
intel core-duo processor,
3gb ram
i have installed vmware and everything was fine,
when i start vmware it boots ubuntu as it is known,
bu
sage: reset()
sage: import mpmath
sage: plot(lambda x: mpmath.legenp(2,0,x),(x,-1,1))
On 11 Kwi, 00:34, achrzesz wrote:
> Workaround:
> list_plot([(x,legenp(2,0,x)) for x in
> srange(-1,1,0.1)],plotjoined=True)
> On 10 Kwi, 23:47, ObsessiveMathsFreak
> wrote:
>
> > The mpmath import seems to work
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