def expm2(A):
"""Compute the matrix exponential using eigenvalue decomposition.
Parameters
----------
A : array, shape(M,M)
Matrix to be exponentiated
Returns
-------
expA : array, shape(M,M)
Matrix exponential of A
"""
A = asarray(A)
t = A.dtype.char
if t not in ['f','F','d','D']:
A = A.astype('d')
t = 'd'
s,vr = eig(A)
vri = inv(vr)
r = dot(dot(vr,diag(exp(s))),vri)
if t in ['f', 'd']:
return r.real.astype(t)
else:
return r.astype(t)
def expm2(A):
"""Compute the matrix exponential using eigenvalue decomposition.
Parameters
----------
A : array, shape(M,M)
Matrix to be exponentiated
Returns
-------
expA : array, shape(M,M)
Matrix exponential of A
"""
A = asarray(A)
t = A.dtype.char
if t not in ['f','F','d','D']:
A = A.astype('d')
t = 'd'
s,vr = eig(A)
vri = inv(vr)
r = dot(dot(vr,diag(exp(s))),vri)
if t in ['f', 'd']:
return r.real.astype(t)
else:
return r.astype(t)
def expm2(A):
"""Compute the matrix exponential using eigenvalue decomposition.
"""
A = asarray(A)
t = A.dtype.char
if t not in ['f','F','d','D']:
A = A.astype('d')
t = 'd'
s,vr = eig(A)
vri = inv(vr)
return dot(dot(vr,diag(exp(s))),vri).astype(t)
