avoid floating point comparison and simply play it safe

This commit is contained in:
Martin Diehl 2019-09-13 06:40:41 -07:00
parent 0497b58629
commit 890a6cf42f
1 changed files with 2 additions and 3 deletions

View File

@ -147,9 +147,8 @@ for name in filenames:
D[neg] *= -1. # ... flip value ...
V[:,neg] *= -1. # ... and vector
for i in [0,1,2]:
if np.dot(V[:,i],V[:,(i+1)%3]) != 0.0: # check each vector for orthogonality
V[:,(i+1)%3] = np.cross(V[:,(i+2)%3],V[:,i]) # correct next vector
V[:,(i+1)%3] /= np.linalg.norm(V[:,(i+1)%3]) # and renormalize (hyperphobic?)
V[:,(i+1)%3] = np.cross(V[:,(i+2)%3],V[:,i]) # correct next vector
V[:,(i+1)%3] /= np.linalg.norm(V[:,(i+1)%3]) # and renormalize (hyperphobic?)
for theStrain in strains:
d = operator(theStretch,theStrain,D) # operate on eigenvalues of U or V
eps = np.dot(V,np.dot(np.diag(d),V.T)).reshape(9) # build tensor back from eigenvalue/vector basis