Math, Linear Algebra, Python, Numpy, Computation.
a matrix using the np.linalg.inv() function: matrix = np.array([[1, 2], [3, 4]]) inverse = np.linalg.inv(matrix) print(inverse) # Output: [[-2. 1. ] # [ 1.5 -0.5]] Note that not all matrices have an inverse. In fact, a matrix is invertible if and only if its determinant is nonzero. Eigenvalues and