Optimisation using spicy.cg returns error at the end

[emmanuel.malherbe]

Hi,

I'm using the optimisation, and I was trying the different algorithm. I'm not sure but it seems that it's bugged for the spicy.cg:

mopt==minimize(reduced_functional, algorithm = "scipy.cg", gtol=1e-1)

gives me that error:

Optimization terminated successfully.
         Current function value: 0.166610
         Iterations: 3
         Function evaluations: 6
         Gradient evaluations: 6
Traceback (most recent call last):
  File "PIu_eqns_stable_shocking_Heun.py", line 291, in <module>
    mopt, fopt, func_calls, grad_calls, warnflag, allvecs=minimize(reduced_functional, algorithm = "scipy.cg", gtol=1e-1)
  File "/usr/lib/python2.7/dist-packages/dolfin_adjoint/optimization.py", line 235, in minimize
    return optimization_algorithms_dict[algorithm][1](reduced_func_array, reduced_func_deriv_array, [p.data() for p in reduced_func.parameter], **kwargs)
  File "/usr/lib/python2.7/dist-packages/dolfin_adjoint/optimization.py", line 144, in minimize_scipy_cg
    mopt, fopt, func_calls, grad_calls, warnflag, allvecs = fmin_cg(J, m_global, fprime = dJ, **kwargs)
ValueError: too many values to unpack

Thank you for any comment.

[Simon Funke (simon-funke)]

Hi Emmanuel.

Can you provide a minimal code example, please?

[Simon Funke (simon-funke)]

Fixed