cuqi.solver.L_BFGS_B.solve

L_BFGS_B.solve()

Runs optimization algorithm and returns solution and info.

Returns:

• solution (array_like) – Estimated position of the minimum.

• info (dict) – Information dictionary. success: 1 if minimization has converged, 0 if not. message: Description of the cause of the termination. func: Function value at the estimated minimum. grad: Gradient at the estimated minimum. nit: Number of iterations. nfev: Number of func evaluations.