I am trying to use np.linalg.lstsq to solve a problem,
I started with simple arrays to solve the equation:
CX = D
where
C = [[66.31835487 67.46962851 58.22702243] [67.46962851 68.65912117 59.24895075] [58.22702243 59.24895075 51.56007083]]
D [0.01144368 0.01164468 0.01004645]
`
I used:
x = - np.linalg.lstsq(C, D, rcond=None)`
But I received the error:
`---> 28 x = - np.linalg.lstsq(C, D, rcond=None)
TypeError: bad operand type for unary -: 'tuple'`
I solved the same problem using np.linalg.solve
and it was fine so i am not sure why the leastsquare did no solve it
try this
import numpy as np
C = np.array([[66.31835487, 67.46962851, 58.22702243],
[67.46962851, 68.65912117, 59.24895075],
[58.22702243, 59.24895075, 51.56007083]])
D = np.array([0.01144368, 0.01164468, 0.01004645])
x = -np.linalg.lstsq(C, D, rcond=None)[0]
print(x)