Answer:
import numpy as np
a = [[1,1],[1,-1]]
A = np.array(a)
B = np.array([15, 4.5])
X= np.linalg.inv(A).dot(B)
print(X)
Explanation:
In the above program, we have used the matrix method and the NumPy library to solve a simultaneous equation.
We know AX=B
or X= inverseA.B
inverse A is found using np.linalg.inv(matrix). and matrix multiplication by A.dot(matrix B)
We need to get A and B from a simultaneous equation. were A is the coefficient of X and Y and the B is the C like as ax + b =c. here a and b are coefficients and c is the constant. And this is given in both equation like
here, x + y =15
and x - y =4.5
and this gives as matrixes as used above in the program.
