How can I solve the general equation b = x * A in NumPy? I can use the function numpy.linalg.lstsq given here (https://numpy.org/doc/stable/reference/generated/numpy.linalg.lstsq.html) to solve the equation b = A * x, but not the other way around.
Is there a method to solve this without matrix inversion?
I found a similar question here: Solve the linear equations system AX = B in Python, np.linalg.solve not working
import numpy as np
...
z = np.linalg.lstsq(a, b) # Solves a@z = b.
