Dear SymPy list.
I'm playing around with polynomials in the context of spline curves.
I want to use a cubic polynomial with yet unknown coefficients like this:
>>> import sympy as sp
>>> t, a0, a1, a2, a3 = sp.symbols('t, a:4', real=True)
>>> a3 * t**3 + a2 * t**2 + a1 * t + a0
a0 + a1*t + a2*t*
single Jupyter output cell?
> The printing module has a number of printers which support a number of
> settings.
Thanks for the reference to
http://docs.sympy.org/latest/modules/printing.html, that's a very
helpful page.
cheers,
Matthias
> On Thursday, February 22, 2018 at 2:02:20
Dear list.
I have this equation:
a = M * b,
where a and b are column vectors and M is a 4x4 matrix.
a and b consist of quite simple expressions, M is unknown:
>>> import sympy as sp
>>> a0, a1, a2, a3 = sp.symbols('a:4')
>>> a = sp.Matrix([a3, a2, a1, a0])
>>> b = sp.Matrix([a0, a3 + a2 + a
+ a1 + a2 + a3) - M_1_2*a1 - M_1_3*(a1 +
> 2*a2 + 3*a3) + a2)/a0, M_0_0: (-M_0_1*(a0 + a1 + a2 + a3) - M_0_2*a1 -
> M_0_3*(a1 + 2*a2 + 3*a3) + a3)/a0}
>
> which, as previously mentioned, is a lot of solutions. You can plug in some
> arbitrary numbers for the free variables here.
>
&g
inverse of a matrix is to invert that matrix. It's often said
> (correctly) that solving a linear system is more efficient than inverting
> its matrix. But here, the task was really to find the inverse of a 4 by 4
> matrix.
>
>
> On Wednesday, March 14, 2018 at 7:21:27 AM UTC-4, Mat
Dear list.
Sorry for the strange title, I couldn't come up with anything more
meaningful ...
I'm working with non-uniform cubic splines and I created a simple
polynomial where the input t in the range [t0, t1] is mapped to the
range [0, 1]:
>>> import sympy as sp
>>> t, t0, t1 = sp.symbols('t t:
Dear list.
I stumbled upon a case where one invocation of trigsimp() doesn't
completely simplify an expression, but calling trigsimp() a second
time on the result leads to further simplification.
Is this normal?
I know that for simplify() there are arguments like "ratio" and
"measure" for specif
Hi all.
First of all, thanks for all the effort all of you are putting into
SymPy in general and into the upcoming Equation class specifically!
I'm not sure whether I fully understand either side of the contentious
questions mentioned in this thread, but let me nevertheless add my
opinion:
I thi
ever additional behavior is needed.
cheers,
Matthias
>
> Jonathan
> On Thursday, February 4, 2021 at 4:51:31 PM UTC-6 asme...@gmail.com wrote:
>>
>> On Thu, Feb 4, 2021 at 2:18 PM Matthias Geier wrote:
>> >
>> > Hi all.
>> >
>> > First of all, th
Hi Jonathan.
On Thu, May 13, 2021 at 3:02 PM gu...@uwosh.edu wrote:
>
> Jisoo,
>
> If you can get it to work that would be great. I tried to squash everything
> into one commit in PR #21333, but I could not get GIT to do it. I'm not sure
> why. If you do get it to work, please let me know how.
On Thu, May 13, 2021 at 6:47 PM gu...@uwosh.edu wrote:
>
> Having tried various versions of what Matthias suggests, I think the solution
> for my case is probably what Chris suggests.
Using the one command I suggested, this takes less than a minute and
there is no way I can forget to add anything
Hi Glenn, all.
On Mon, Jan 15, 2024 at 11:06 PM Aaron Meurer wrote:
> On Mon, Jan 15, 2024 at 1:48 PM Glenn Ramsey
> wrote:
> > On 8/01/24 11:57, Glenn Ramsey wrote:
[...]
> > A question now is if I did that and referred to that in the markdown with
> > something like this: $\@ref(foo)$, woul
Hi all.
I have a simple expression:
>>> import sympy as sp
>>> a, b, t, t0 = sp.symbols('a b t t0')
>>> expr = a*(t - t0)**3 + b*(t - t0)**2
And I would like to differentiate it with respect to t:
>>> expr.diff(t)
3*a*(t - t0)**2 + b*(2*t - 2*t0)
Why is the constant "2" distributed in the seco
hange.
The first example still doesn't work at this point in the history. It
just shows an empty plot (only the axes are visible).
I wanted to go further back in history, but I wasn't able to install a
combination of SymPy/NumPy/Matplotlib/Python that worked.
Is there anything else I sh
Hi all.
A few years ago, I have documented how to create Matplotlib animations
from SymPy plots:
https://nbviewer.org/github/mgeier/python-audio/blob/master/sympy/sympy-matplotlib-animations.ipynb
This has worked quite well (as can be seen in the link), but in the
meantime, the behavior/usage of
On Tue, Nov 12, 2024 at 11:38 AM Matthias Geier
> wrote:
> >
> > Hi Aaron.
> >
> > On Mon, Nov 11, 2024 at 8:38 PM Aaron Meurer wrote:
> > >
> > > I haven't followed all the changes to plotting. Do you know what the
> > > PR SymPy was that
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