I mean to solve a symbolic equation via sympy.solve.
It was taking surprisingly long, so I tried a few variations, until I found one "at the boundary" between what works and what doesn't.
Code below...
import sympy as sp
import numpy as np
x, y, z = sp.symbols('x, y, z')
# Option 1: works
expr3 = 0.6*x**(3/2)*y**(7/5)*z**2.2
expr4 = 0.9*x**0.5*y**(4/5)*z**1.2
s3 = sp.solve(expr3 - expr4, x)
print(s3)
# Option 2: does not work
expr3 = 0.6*x**(1/9)*y**(7/5)*z**2.2
expr4 = 0.9*x**0.5*y**(4/5)*z**1.2
s3 = sp.solve(expr3 - expr4, x)
print(s3)
... produces this output
[0.0, 1.5/(y**(3/5)*z)]
from option 1, and then it is stuck at option 2. I have to manually interrupt calculation. I don't understand why the difference, both seem to have roughly the same requirements to solve, and they can be worked out by hand.
Any hints?
