uf3.representation.angles.arrange_3b

arrange_3b(triangle_values: numpy.ndarray, idx_lmn: numpy.ndarray, L: int, M: int, N: int) → numpy.ndarray

Arrange contributions per basis function in L x M x N grid.

Parameters

• triangle_values (np.ndarray) – array of shape (n_triangles * 4, 3)

• idx_lmn (np.ndarray) – array of shape (n_triangles * 4, 3)

• L (int) – number of basis functions in first dimension of tensor.

• M (int) – number of basis functions in second dimension of tensor.

• N (int) – number of basis functions in third dimension of tensor.

Returns

grid (np.ndarray)