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The Saboteur 4.2 Patch Fix 12832 Cracked Version Free. How to crack windows 7, windows 8, windows 8.1, windows 10. Windows 9, windows 8.1, windows 8, windows 7 crack.Tuesday, March 28, 2007
Hello everybody. I have some new songs for you. They are all written and hopefully will be recorded soon. I will let you know where you can hear them when they are done. I did a jpeg show this past Sunday, and those will be on my web site as well. I have started an experiment. I ask everybody to do a jpeg show for me. Please contact me and let me know when you will do a show. I will be posting the jpeg when the show is done. Please post your jpeg on my web site. I think it will be great. Let me know if you have any ideas.
Friday, March 17, 2007
I have been working on a song called
I’m currently using Numpy 1.9.2, Scipy 0.7.1, with Python 2.7.6 and trying to run the following:
import numpy as np
import scipy as sp
# some setup code below…
preciseX = sp.linalg.eig(A, k=1) #A is a 2D array of data
# pre-allocate memory for eigvals and eigenvectors
v = np.empty(shape=(1024, 1), dtype=np.float64)
# upper triangular matrix U, eigenvectors v: 1024 rows, 1 column
U = np.empty((1024, 1024), dtype=np.float64)
# upper triangular matrix U, eigenvalues eta
etas = np.empty(shape=preciseX.shape, dtype=np.float64)
# now, fill U and etas with values obtained from preciseX:
for i in xrange(preciseX.shape):
# now, decompose the matrix A into U*diag(eta) * U^T
Uu = np.linalg.solve(U.transpose(), U) # solve for Uu
diaga = np.linalg.diag(np.asmatrix(etas)) # convert to 1D
Uu = Uu.reshape((1,Uu.size)) # keep 1×1024, 1×1024 matrix
# find eigenvectors:
for i in xrange(U.shape):
n = Uu[i,i]
# note that order of vec is [N,0], not [0,N]
v[i] = n.dot(Uu[i:i+1].transpose())
# find eigenvalues of Uu*Uu^T
veig = np.linalg.eigvals(Uu*Uu.transpose