Updates:
Blockedon: 1231
Comment #2 on issue 1230 by ondrej.certik: limit((tan x)**(tan 2x), x,
pi/4) doesnt work
http://code.google.com/p/sympy/issues/detail?id=1230
If you want to debug it, use:
$ git diff
diff --git a/sympy/series/gruntz.py b/sympy/series/gruntz.py
index
Updates:
Status: Fixed
Comment #5 on issue 1231 by fabian.seoane: improve debugging of limits
http://code.google.com/p/sympy/issues/detail?id=1231
commited
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On Thu, Dec 4, 2008 at 1:08 PM, Scott [EMAIL PROTECTED] wrote:
How can I translate a formula output by sympy into one that is scipy
friendly?
Given the following formula how can I automate turning the formula
into a fast funtion.
f0=-delta_v_h/2 - delta_v_theta/20 + dt*(-2*h1/25 -
In spite of my best efforts I cannot get lambdify to cope with array/
list inputs. All the lambdify examples have 1D inputs.
Can you pass in x= x1,x2 ?
dof and d_dof are both 4*1 lists
I am also have trouble with lambdify seeing list if length 4 as on
input rather thab as 4 inputs, Iam using
On Thursday 04 December 2008 19:52:45 Scott wrote:
In spite of my best efforts I cannot get lambdify to cope with array/
list inputs. All the lambdify examples have 1D inputs.
Can you pass in x= x1,x2 ?
dof and d_dof are both 4*1 lists
I am also have trouble with lambdify seeing list if
Say I have a expression f containing symbols a, b, c, a**2, b**2, and
c**2 and I wish to automate imposing the constraint a**2+b**2+c**2 =
1. But a,b, and c and their squares are hidden (were generated by other
manipulations) so all I have are f and xsq (xsq = a**2+b**2+c**2). How
do I
On Thu, Dec 04, 2008 at 04:08:15AM -0800, Scott wrote:
How can I translate a formula output by sympy into one that is scipy
friendly?
Here is my attempt with the attached file:
In [1]: run test.py
In [2]: F0??
[...]
def F0(dof,d_dof,U,dt):
args = tuple(dof) + tuple(d_dof) +