Comment #4 on issue 2322 by skirpic...@gmail.com: is_real problems with
(pi/log(real))
http://code.google.com/p/sympy/issues/detail?id=2322
I think, there is some syntax misconception.
ask(pi/log(r), Q.real) - meaningless (not good proposition!). Second
argument for ask is an assumption
Updates:
Status: Fixed
Comment #4 on issue 3693 by smi...@gmail.com: solve() returns only subset
of solutions for polynomial eqs
http://code.google.com/p/sympy/issues/detail?id=3693
(No comment was entered for this change.)
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Comment #5 on issue 2322 by asmeu...@gmail.com: is_real problems with
(pi/log(real))
http://code.google.com/p/sympy/issues/detail?id=2322
Maybe there should be some type checking.
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Comment #3 on issue 1246 by skirpic...@gmail.com: improve solve() to handle
absolute values
http://code.google.com/p/sympy/issues/detail?id=1246
In [2]: x=Symbol('x')
In [3]: solve(abs(x-2),x)
Out[3]: [2]
In [4]: solve(abs(x-2)-1,x)
Out[4]: [1, 3]
Looks ok. Close?
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Comment #2 on issue 2019 by skirpic...@gmail.com: Add new (assumptions)
fact about algebraic elements.
http://code.google.com/p/sympy/issues/detail?id=2019
Perhaps, Implies(Q.rational, Q.algebraic) we should include too:
https://github.com/sympy/sympy/pull/1899
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Updates:
Status: Fixed
Comment #4 on issue 1246 by asmeu...@gmail.com: improve solve() to handle
absolute values
http://code.google.com/p/sympy/issues/detail?id=1246
Yeah, this was fixed a long time ago by
commit b6b68bf29d7c6ead6857743452cbea5d2077082b
Author: Chris Smith
Comment #11 on issue 2625 by asmeu...@gmail.com: Imaginary unit in R,
ordering of complex numbers
http://code.google.com/p/sympy/issues/detail?id=2625
But
In [89]: Interval(-oo,oo).contains(I)
Out[89]: ⅈ -∞ ∧ ⅈ ∞
and even things like I 2 still work.
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On Thu, Mar 14, 2013 at 11:07 PM, Chris Smith smi...@gmail.com wrote:
On Fri, Mar 15, 2013 at 6:24 AM, Aaron Meurer asmeu...@gmail.com wrote:
On Thu, Mar 14, 2013 at 3:42 AM, Ondřej Čertík ondrej.cer...@gmail.com
wrote:
On Thu, Mar 14, 2013 at 12:34 AM, Aaron Meurer asmeu...@gmail.com wrote:
I won't be available till Tuesday (19th March); going on a field trip. In
the meanwhile, please keep posting ideas/suggestions/problems if any.
Thanks.
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I recently started to learn Python and I have stumbled over an issue since
quite a few days.
How to evaluate a function at let say x=2.
example
h=diff(sin(x))
print(h(2.))
=cos(x)
or
print (N(h(x),2.)
=cos(x)
or
print (h(x).evalf(2.))
=cos (x)
but never the value of cos(2.)
On Fri, Mar 15, 2013 at 2:27 PM, Patrice Haldemann
patrice.haldem...@gmail.com wrote:
I recently started to learn Python and I have stumbled over an issue since
quite a few days.
How to evaluate a function at let say x=2.
example
h=diff(sin(x))
print(h(2.))
=cos(x)
The subs method will
Oops, I see I got the decimal point wrong, but you get the idea. Also
note that if you use floats you will get a Float (SymPy's version of
the float) automatically, but if you use integers or Rationals, you
will not:
h.subs(x, 2)
cos(2)
_.n()
-0.416146836547142
h.subs(x, S(1)/2)
cos(1/2)
Hi,
My name is Saurabh Jha. I am a third year student at an Indian
University. My major is Computer Science and Engineering. I am
interested in Google Summer of Code 2013 and more specifically want to
work on matrix module of sympy. I saw the ideas list and found two
points concerned with
I have boolean variables that can be negated or not, so _x=1-x, in a
sum-of-monomials type of expression. Of course, the regular and negated
literals are treated as different symbols in sympy.
I would like to do the simplification:
a*b*c*x + a*b*c*_x + other terms = a*b*c
a*b*c*x - a*b*c*_x
This is certainly an important project, however it is also rather
difficult. Moreover, there was some tangential work on sparse matrices
(and maybe symbolic matrix expressions) that must somehow be combined
in a coherent module.
Most importantly, there is some work done on that by Mateusz
Hi, smichr
Unfortunately not, a constraint I have is that if x and _x appear in other
places that do not simplify out, I would like to keep those parts with
their original literals.
El viernes, 15 de marzo de 2013 14:16:05 UTC+1, smichr escribió:
On Fri, Mar 15, 2013 at 6:37 PM, Roderick
How are you representing the Not variables? Within a Not? Because you
could find out who is Not-ed and then replace a given Not with a
(1-not_var) and only keep the replacement if it caused terms to
disappear.
eq
a*b*c*x + a*b*c*Not(x) + a*y
eq.atoms(Not)
set([Not(x)])
_.pop().args[0]
x
Does
@mrocklin, I wonder if any of the unify tools -- maybe one to collect
identities -- might be used for this.
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to
Okay, so I'd just like to make sure I'm using strategies/rules correctly. I
have the gist of the derivative implementation at
https://gist.github.com/lidavidm/5171100.
- The rules convert the function to be differentiated into a namedtuple
corresponding to the derivative rule to be
The first argument to evalf tells it how many decimal places to evaluate
to. You want subs, either the method or the argument to evalf.
Aaron Meurer
On Mar 15, 2013, at 4:17 AM, Patrice Haldemann patrice.haldem...@gmail.com
wrote:
I recently started to learn Python and I have stumbled over an
Maybe use collect() with x and _x and then replace any instance of a
multiple of x + _x with 1.
Aaron Meurer
On Mar 15, 2013, at 7:46 AM, Roderick de Nijs razor4...@gmail.com wrote:
Hi, smichr
Unfortunately not, a constraint I have is that if x and _x appear in other
places that do not
I don't know if it's idiomatic, but one suggestion is to derive the
derivative rules automatically from diff. At the very least use a fallback
so it works for functions you don't have rules for.
Aaron Meurer
On Mar 15, 2013, at 10:42 AM, David Li li.david...@gmail.com wrote:
Okay, so I'd just
If this an idiomatic use of strategies then I'll convert the rest of
the code.
There is no idiomatic or agreed upon use of strategies. They're new,
experimental, and used almost exclusively by me.
The only good idea I can push with confidence is that you should strive to
separate your
That would be a good idea. Looking at the code, everything has an
_eval_derivative method which should work. My only concern is that, for
instance, in Pow it combines the power, chain, and exponential rules into
one expression.
In any case, most of the code I added was related to printing and
Thank you very much. You have been most helpful.
I wish you a nice weekend.
Kind regards
Patrice
Le vendredi 15 mars 2013 09:42:34 UTC+1, Patrice Haldemann a écrit :
I recently started to learn Python and I have stumbled over an issue since
quite a few days.
How to evaluate a
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