On Wednesday, February 11, 2015 at 3:05:27 PM UTC+1, Joachim Durchholz
wrote:
Am 11.02.2015 um 12:07 schrieb Guillaume Anciaux:
For various reasons I wish to stay in Python world...
You can still look at how they're dealing with it and see how their
ideas may apply in the Python
Am 11.02.2015 um 12:07 schrieb Guillaume Anciaux:
For various reasons I wish to stay in Python world...
You can still look at how they're dealing with it and see how their
ideas may apply in the Python world.
--
You received this message because you are subscribed to the Google Groups
Sorry, I must have tried in the git version, not 0.7.6. I see the same
thing in 0.7.6, but it works fine in the git master.
Aaron Meurer
On Wed, Feb 11, 2015 at 2:54 AM, Arnaud Usciati rait...@gmail.com wrote:
I use sympy-0.7.6.win32.
I tried it with a faster computer and it returns that :
Hi, I'm new to the project. I'm a 3rd year Computer Science and Engineering
student and I have a 5 years experience in C++, C and Java. I'm very
excited about csympy project and wondering if I could contribute to it as
this year's GSoC project?
On Tuesday, February 10, 2015 at 4:29:01 AM
Hi Mario,
On Tue, Nov 26, 2013 at 5:38 AM, mario mario.pern...@gmail.com wrote:
In PR 609 and PR 2630 power series are implemented with dictionaries, that
is in a sparse representation.
The sparse representation is efficient when there are many variables. PR
2630 uses ``ring()``.
For power
On Tuesday, February 10, 2015 at 1:43:05 PM UTC+1, Guillaume Anciaux wrote:
Dear all,
I am interested in doing a small thing (perhaps).
I wish to have an 'indexed function'
The purpose would be to have something like
**
f = symbols('f', cls=IndexedFunction)
i = Idx('i')
That is true that if you can replace indexes with a multiple argument
function. But an index is an integer not a real.
Furthermore the feature that makes indexed quantity behave just like a
numpy array is neat.
I think that when you manipulate a tensor/matrix field it would be nice be
be able
Hi,
I found another error limit :
If x = symbols('x', positive=True), limit(tan(abs(x))/acosh(x), x, pi/2,
'-') returns oo -- OK
If x = symbols('x', real=True), limit(tan(abs(x))/acosh(x), x, pi/2, '-')
returns oo*sign(1/Subs(Derivative(re(_x), _x), (_x,), (0,))) !!
I guess the first result is
I use sympy-0.7.6.win32.
I tried it with a faster computer and it returns that :
solve(8.99*x*(-x + 1)**1.9 + 3.1*(-x + 1)**2.1 - 3.1*(-x + 1)**2.9, x)
Traceback (most recent call last):
File pyshell#0, line 1, in module
solve(8.99*x*(-x + 1)**1.9 + 3.1*(-x + 1)**2.1 - 3.1*(-x + 1)**2.9,
For various reasons I wish to stay in Python world...
--
You received this message because you are subscribed to the Google Groups
sympy group.
To unsubscribe from this group and stop receiving emails from it, send an email
to sympy+unsubscr...@googlegroups.com.
To post to this group, send
Hello.
Maybe, it could be useful to have a abssimplify method that will try to
simplify abs expressions.
Christophe BAL
Le 11 févr. 2015 11:54, Arnaud Usciati rait...@gmail.com a écrit :
Hi,
I found another error limit :
If x = symbols('x', positive=True), limit(tan(abs(x))/acosh(x), x,
On Wednesday, February 11, 2015 at 10:13:33 AM UTC+1, Guillaume Anciaux
wrote:
So, I understand that the idea is pleasant. Someone willing to extend
indexes ? Otherwise, how can I help ? Do you have pointers to the ways
indexes are working ?
I am slowly developing the code in
I haven't studied all the notes prior to this, but it may be helpful to
look at Macsyma/ Maxima.
Series can be extended to several variables in different ways, e.g.
series in x to order xn with coefs as series in y to order yn etc
or to total order that is degree in(x) + degree in (y) +
13 matches
Mail list logo