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- from numpy import sqrt
- from scipy.optimize import minimize
- import numpy as np
- A= np.array([[3.0, 1.0],[3.0,-1.0]])
- B= np.array([2.0, 7.0, 9.0, -4.0])
- #print np.linalg.det(A)
- G=([[5.0, 1.0, -2.0, 1.0],[1.0, -1.0, 1.0, -1.0],[1.0, 1.0, 1.0, 1.0],[1.0, -2.0 ,-1.0, 1.0]])
- a_1= np.linalg.inv(G)
- #rint a_1
- print np.dot( a_1, B)
- print np.linalg.solve(G, B)
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