>
> I don't think there is a debate.
>
I finally understand why you need to keep vectors open to multiple
coordinate systems. If you did not then operations like *mag(r - r')*
would not be possible.
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Jason,
I see now. You want to keep it open for people who know how to define vectors
in multiple coordinate systems. I do feel that it should be expressed in the
documentation (might already be, not at comp).
Justin
Sent from my iPhone
> On Oct 24, 2015, at 12:42 AM, Jason Moore wr
On Friday, October 23, 2015 at 7:27:45 PM UTC-4, Nathan Goldbaum wrote:
>
>
>
> On Fri, Oct 23, 2015 at 6:25 PM, Justin >
> wrote:
>
>> I have a terrible way of wording things.. more of a discussion between
>> myself and the author where he mentioned that I
which I gather
> from the definition you don't have a priori)?
>
> Aaron Meurer
>
> On Fri, Oct 23, 2015 at 5:25 PM, Justin >
> wrote:
> > -1
> >
> > --
> > You received this message because you are subscribed to the Google
> Grou
I have a terrible way of wording things.. more of a discussion between
myself and the author where he mentioned that I should ask the community
what they think.
On Friday, October 23, 2015 at 6:43:51 PM UTC-4, Jason Moore wrote:
>
> Justin,
>
> I don't think there is a debat
-1
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i + C2.y * C2.j
(-1) In [3]: vector = C1.x * C1.i + C2.y * C2.j
TypeError: The vector should be well-defined.
Please vote with +1 or -1 below. The current representation is +1.
Thanks,
Justin
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>
> On Wednesday, 21 October 2015 17:37:31 UTC+2, Jason Moore wrote:
>>
>> I will help you get your dev environment setup and give info on how to
>> make PRs, etc.
>>
>>
Hey Jason, I have my dev environment set up per the development workflow
wiki. I would like some information on how and when
out this right now, but will keep it in mind
when mapping out the class hierarchy. Any thoughts on implementing the
divergence theorem in special cases like these, or plans for the dirac
delta?
Cheers,
Justin
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ave them there at all.
>
Out of curiosity, which Python function does this? Adding a whole new
operator is interesting.. and, of course, debatable.
Cheers,
Justin
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Hi,
> Something I'd really like to see changed in the vector module, is the
> dependence of these operators on the coordinate system. That is, you define
> the *grad, curl, div* operators for every coordinate system. This is not
> necessary, because *base_scalar*s and *base_vector*s all conta
spherical
stuff because, as of now, the base scalars and base vectors append
spherical_ on the normal ones (x, y, z, i, j, k).
I'll keep in touch.
Cheers,
Justin Blythe
jblyth...@gmail.com
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reference frames and what-have-you.
Cheers,
Justin
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in some of the functions in sympy/solvers on how to do that
right out of the box to hit the ground running with complicated dsolve()s.
That is when people come to these kind of programs, that or undergrads in
calc 1.
Regards,
Justin
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Hey,
So I am going through the advanced example in the tutorial: Solve for r
given V=4/3 * pi * r**3.
The solution is correct but I am wondering if I can get rid of unneeded
solutions by giving a "list" of assumption like [ V>0, r>0 ].
Justin
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umber of not so simple coupled ODEs with
different solve techniques to stress the solver. I am on the job market
right now so it might be the weekend before I make the commit. We can
continue from there. I hope this helps.
Cheers,
Justin
jblyth...@gmail.com
Hi,
>
> Some systems
How about coupled ODEs?
On Saturday, September 12, 2015 at 12:26:30 AM UTC-4, Denis Akhiyarov wrote:
>
> There is limited analytical PDE solver, but this is not very practical. If
> numerical PDE solution, that area is pretty well established, even in
> python.
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project to get involved in and this one is right up my alley. I have not
used your package yet so I'd be willing to start with some bug fixes to
prove my worth.
Have you guys implemented partial differential equations yet? If not, that
will set this package on fire!!
Cheers,
Justin
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A little notebook that came out of this work, is case anyone is interested:
http://nbviewer.ipython.org/github/justinvf/algorithmshop/blob/master/20140715-mixture-models/pearson_gaussian_mixtures.ipynb
On Wednesday, July 16, 2014 1:13:42 PM UTC-7, Justin Vincent wrote:
>
> Thanks! This
gt; moment(X, 2)
> 91/6
> >>> moment(X, 1) == E(X)
> True
>
> In [6]: moment(X, 1)
> Out[6]: μ
>
> In [7]: moment(X, 2)
> Out[7]:
> 2 2
> μ + σ
>
> In [8]: moment(X, 3)
> Out[8]:
> 32
> μ + 3⋅μ⋅σ
>
> In [9]: m
(f * x, (x, -oo, oo))
What approach should I take here if I wanted to get those values cited in
wikipedia? Haven't used Sympy much before. Thanks in advance.
Justin
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So, I switched to the 'sympy.nsolve' method and got the approximate
solutions similar to Mathematica.
Yes, the system is nonlinear. While the method in the Mathematica code was
'NSolve', the solution set
returned was the same for the 'Solve' method.
Regardless, this helped a bunch. Thanks!
On S
day, June 30, 2013 12:44:45 PM UTC-7, Stefan Krastanov wrote:
>
> f_1 = x + s1 + s2 + s5 - t1
>
> this is all that you need to do if I understand your question correctly
>
> Or if you wish, you can create 'Eq(right_hand, left_hand)' instances.
>
> On 30 June 20
Hi all,
I'm trying to make the switch from Mathematica to Python in the lab, but
I'm running into a small problem binding the result space to a boundary.
Specifically, I'm trying to assign equality to each polynomial equation in
a system to a total t1,t2 and t3 to solve the system symbolically.
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