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scriptblocchi.py
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scriptblocchi.py
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import scipy as sp
import scipy.linalg
from scipy.linalg.lapack import ztrsyl, dtrsyl
import scipy.linalg as spl
D = sp.random.randint(-100,100,(2,8000))
def blocks1(M):
for i in range(0,2000,+4):
Uii = M[:,i:i+2]
Ujj = M[:,i+2:i+4]
Tnoto = sp.random.randint(-100,100,(2,2))
#shapeUii = Uii.shape[0]
#shapeUjj = Ujj.shape[0]
x, scale, info = dtrsyl(Uii, Ujj, Tnoto)
ris = x*scale
def blocks2(M):
for i in range(0,2000,+4):
Uii = M[:,i:i+2]
Ujj = M[:,i+2:i+4]
Tnoto = sp.random.randint(-100,100,(2,2))
shapeUii = Uii.shape[0]
shapeUjj = Ujj.shape[0]
Tnoto = Tnoto.reshape((shapeUii*shapeUjj),1,order="F")
ris = sp.eye(shapeUii)
ris2=sp.eye(shapeUjj)
# sp.linalg.solve(sp.kron(Ujj,Uii) +
# sp.kron(Ujj,Uii),Tnoto).reshape(shapeUii,shapeUjj,order="F")
# sp.linalg.solve(sp.kron(sp.eye(shapeUjj),Uii) +
# sp.kron(Ujj.T,sp.eye(shapeUii)),
# Tnoto).reshape(shapeUii,shapeUjj,order="F")
def INsc1(A):
X = np.copy(A)
E = 0.5*(np.eye(A.shape[0])-A)
dA = spl.det(A)**(0.5)
for i in range (1,5):
print i
detX = spl.det(X)
uk = np.abs(detX/dA)**(-1.0/i)
Etk = (E + (0.5*X))/uk - (0.5)*uk*X
X = uk*X + Etk
print X
E = (-0.5)*(Etk.dot(spl.inv(X))).dot(Etk)
return X