So, I switched to the 'sympy.nsolve' method and got the approximate
solutions similar to Mathematica.
Yes, the system is nonlinear. While the method in the Mathematica code was
'NSolve', the solution set
returned was the same for the 'Solve' method.
Regardless, this helped a bunch. Thanks!
On S
day, June 30, 2013 12:44:45 PM UTC-7, Stefan Krastanov wrote:
>
> f_1 = x + s1 + s2 + s5 - t1
>
> this is all that you need to do if I understand your question correctly
>
> Or if you wish, you can create 'Eq(right_hand, left_hand)' instances.
>
> On 30 June 20
Hi all,
I'm trying to make the switch from Mathematica to Python in the lab, but
I'm running into a small problem binding the result space to a boundary.
Specifically, I'm trying to assign equality to each polynomial equation in
a system to a total t1,t2 and t3 to solve the system symbolically.
