I think however in the case:
when x==0 then the value of sin(n*x) == 0 for all value of n(n==1, 2, 3,
) so x==0 should not be in the case of taking limits of the function,
rather its value should be zero(without limits).
And i want to know that since "Sympy" can not solve bcz of not availab
I tried to solve Eq: cos(x)+sin(x**2)=0 using SymPy Gamma and it gives no
solution but when i do it by using solve function of SymPy in isympy it
gives solution. What can be the problem?
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According to the definition, we need the limit of the function when alpha
approaches 0. How to implement this on a Function object?
from sympy import *
from sympy.abc import *
from IPython.display import display
init_printing(use_latex='mathjax')
def func_diff(F, f, df):
alpha = Symbol('alpha')
Hi,
I am trying to implement a general inverse problem solvers library by
using sympy as an important part of the tool. One of a problem is that I
need to compute functional derivative
(http://en.wikipedia.org/wiki/Functional_derivative) against some
functional. So far, I have tested this p
While reading solvers doc I came across following:
If solve returns [] or raises NotImplementedError, it doesn't mean that the
equation has no solutions. It just means that it couldn't find any. Often
this means that the solutions cannot be *represented symbolically*. For
example, the equation
Also, it can sometimes be more useful to have a numeric solution than a
solution represented in symbolic form.
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> Also, it can sometimes be more useful to have a numeric solution than a
solution represented in symbolic form.
And that's why we have libraries like scipy/numpy :)
Regards
Sudhanshu Mishra
www.sudhanshumishra.in
On Tue, Jan 6, 2015 at 4:20 AM, Luv Agarwal
wrote:
> Also, it can sometimes be m
SymPy does have nsolve, which uses mpmath, but in general, numerical
algorithms are not represented well in SymPy, and you're better off using
other libraries if that's what you're interested in.
Aaron Meurer
On Mon, Jan 5, 2015 at 4:34 PM, Sudhanshu Mishra wrote:
> > Also, it can sometimes be
