scipy.linalg.sinm#
- scipy.linalg.sinm(A)[source]#
Compute the matrix sine.
This routine uses expm to compute the matrix exponentials.
- Parameters
- A(N, N) array_like
Input array.
- Returns
- sinm(N, N) ndarray
Matrix sine of A
Examples
>>> from scipy.linalg import expm, sinm, cosm
Euler’s identity (exp(i*theta) = cos(theta) + i*sin(theta)) applied to a matrix:
>>> a = np.array([[1.0, 2.0], [-1.0, 3.0]]) >>> expm(1j*a) array([[ 0.42645930+1.89217551j, -2.13721484-0.97811252j], [ 1.06860742+0.48905626j, -1.71075555+0.91406299j]]) >>> cosm(a) + 1j*sinm(a) array([[ 0.42645930+1.89217551j, -2.13721484-0.97811252j], [ 1.06860742+0.48905626j, -1.71075555+0.91406299j]])