bundles / scipy latest / scipy / linalg / _matfuncs / sinhm
function
scipy.linalg._matfuncs:sinhm
source: build-install/usr/lib/python3.14/site-packages/scipy/linalg/_matfuncs.py:599
Signature
def sinhm(A)Summary
Compute the hyperbolic matrix sine.
Extended Summary
This routine uses expm to compute the matrix exponentials.
The documentation is written assuming array arguments are of specified "core" shapes. However, array argument(s) of this function may have additional "batch" dimensions prepended to the core shape. In this case, the array is treated as a batch of lower-dimensional slices; see linalg_batch for details. The NEP 5 signature of this function is (i,i)->(i,i).
Parameters
A: (N, N) array_likeInput array.
Returns
sinhm: (N, N) ndarrayHyperbolic matrix sine of
A
Examples
import numpy as np from scipy.linalg import tanhm, sinhm, coshm a = np.array([[1.0, 3.0], [1.0, 4.0]]) s = sinhm(a)✓
s
✗array([[10.573, 39.288],
[13.096, 49.861]])
Verify tanhm(a) = sinhm(a).dot(inv(coshm(a)))
t = tanhm(a) c = coshm(a)✓
t - s.dot(np.linalg.inv(c))
✗array([[ 0., 0.],
[-0., -0.]])
Aliases
scipy.linalg.sinhm