Status: Valid
Owner:
Labels: Type-Defect Priority-Medium Logic Printing
New issue 4081 by asmeu...@gmail.com: Equivalent doesn't sort args
http://code.google.com/p/sympy/issues/detail?id=4081
Equivalent(x, y) sometimes prints as Equivalent(x, y) and sometimes as
Equivalent(y, x). I haven'
Status: Valid
Owner:
Labels: Type-Enhancement Priority-Medium Printing Logic EasyToFix
New issue 4080 by asmeu...@gmail.com: Pretty print Not(Equivalent) and
Not(Implies)
http://code.google.com/p/sympy/issues/detail?id=4080
Instead of printing Not(Equivalent) and Not(Implies) with ¬, we
Comment #3 on issue 4076 by asmeu...@gmail.com: Improvements to logic module
http://code.google.com/p/sympy/issues/detail?id=4076
Another thing that bugs the crap out of me that I may or may not get around
to fixing is all the automatic evaluation that happens. Not automatically
applies deMo
Updates:
Blockedon: sympy:2531 sympy:4075
Comment #2 on issue 4076 by asmeu...@gmail.com: Improvements to logic module
http://code.google.com/p/sympy/issues/detail?id=4076
I didn't notice the simplify=True option to to_cnf. It seems it doesn't
work:
In [48]: var("x:3")
Out[48]: (x₀,
Issue 2531: Sympy objects for Boolean values: True, False
http://code.google.com/p/sympy/issues/detail?id=2531
This issue is now blocking issue sympy:4076.
See http://code.google.com/p/sympy/issues/detail?id=4076
--
You received this message because you are listed in the owner
or CC fields of th
Issue 4075: More efficient to_cnf
http://code.google.com/p/sympy/issues/detail?id=4075
This issue is now blocking issue sympy:4076.
See http://code.google.com/p/sympy/issues/detail?id=4076
--
You received this message because you are listed in the owner
or CC fields of this issue, or because you
Status: New
Owner:
Labels: Type-Defect Priority-Medium
New issue 4079 by ppue...@googlemail.com: fourier_transform(1, x, z)
returns 0
http://code.google.com/p/sympy/issues/detail?id=4079
fourier_transform(1, x, z)
returns 0, but it should return DiracDelta(z)
--
You received this messag
Comment #5 on issue 4075 by christian.muise: More efficient to_cnf
http://code.google.com/p/sympy/issues/detail?id=4075
Better references? There should be, but I just know it as general lore
around the SAT solving community. Your best bet is to analyze the types of
input you are expecting --
Status: New
Owner:
Labels: Type-Defect Priority-Medium
New issue 4078 by ppue...@googlemail.com:
laplace_transform(Sum((-1)**n*Heaviside(t - n*a), (n, 1, oo)), t, s) not
calculated
http://code.google.com/p/sympy/issues/detail?id=4078
t = symbols('t', real=True, positive=True)
a = symbo
Status: New
Owner:
Labels: Type-Defect Priority-Medium
New issue 4077 by ppue...@googlemail.com: laplace_transform(diff(y(t), t,
2), t, s) not calculated
http://code.google.com/p/sympy/issues/detail?id=4077
t = symbols('t', real=True, positive=True)
w = symbols('w', real=True)
s = symbol
Comment #4 on issue 4075 by asmeu...@gmail.com: More efficient to_cnf
http://code.google.com/p/sympy/issues/detail?id=4075
Do you know of any better references for this, aimed more toward
implementation? It seems like in many (most?) cases, adding new variables
is unnecessary. For instance,
Comment #3 on issue 4075 by asmeu...@gmail.com: More efficient to_cnf
http://code.google.com/p/sympy/issues/detail?id=4075
Oh I didn't know that. So we would need to find a heuristic to balance the
two.
--
You received this message because this project is configured to send all
issue notif
Updates:
Labels: NeedsReview
Comment #2 on issue 3608 by julien.r...@gmail.com: Issues with
trigfunctions.equals
http://code.google.com/p/sympy/issues/detail?id=3608
(No comment was entered for this change.)
--
You received this message because this project is configured to send all
Updates:
Status: Valid
Comment #2 on issue 4074 by julien.r...@gmail.com:
laplace_transform(sinh(w*t)*cosh(w*t), t, s) AttributeError
http://code.google.com/p/sympy/issues/detail?id=4074
I've seen this, too.
--
You received this message because this project is configured to send all
Comment #8 on issue 4023 by luca@gmail.com: solve provides the error:
sympy.polys.polyerrors.PolynomialError: only univariate polynomials are
allowed
http://code.google.com/p/sympy/issues/detail?id=4023
So summarizing:
I can solve my issue by converting my equation in a Sympy polynom an
15 matches
Mail list logo