Return real part of the gradient

blochsolver
jan 6 years ago
parent 39979edc44
commit f312d73503

@ -400,7 +400,7 @@ def eigsolve(num_modes: int,
df_dy = scipy_iop @ (AzU - zU @ zTAzU)
else:
df_dy = (AzU - zU @ zTAzU)
return numpy.abs(f), numpy.sign(f) * df_dy.ravel()
return numpy.abs(f), numpy.sign(f) * numpy.real(df_dy).ravel()
'''
Use the conjugate gradient method and the approximate gradient calculation to

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