using eigh should ensure orthogonal eigenvectors
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@ -146,9 +146,6 @@ for name in filenames:
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neg = np.where(D < 0.0) # find negative eigenvalues ...
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D[neg] *= -1. # ... flip value ...
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V[:,neg] *= -1. # ... and vector
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for i in [0,1,2]:
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V[:,(i+1)%3] = np.cross(V[:,(i+2)%3],V[:,i]) # correct next vector
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V[:,(i+1)%3] /= np.linalg.norm(V[:,(i+1)%3]) # and renormalize (hyperphobic?)
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for theStrain in strains:
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d = operator(theStretch,theStrain,D) # operate on eigenvalues of U or V
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eps = np.dot(V,np.dot(np.diag(d),V.T)).reshape(9) # build tensor back from eigenvalue/vector basis
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