pyFM.optimize.base_functions.LB_commutation_and_grad

pyFM.optimize.base_functions.LB_commutation_and_grad(C, ev_sqdiff)

Compute the LB commutativity constraint and its gradient.

Parameters:

  • C ((K2, K1) np.ndarray) – Functional map.

  • ev_sqdiff ((K2, K1) np.ndarray) – [normalized] matrix of squared eigenvalue differences.

Returns:

  • energy (float) – LB commutativity squared norm.

  • gradient ((K2, K1) np.ndarray) – Gradient of the LB commutativity squared norm.