pyHarm.DynamicOperator

Functions

get_array_nh(→ tuple[numpy.ndarray, bool, int])
get_block_anh(anh, is_h0, h_block)
compute_DFT(→ dict[str)	Builds the Discrete Fourier Transform (DFT) operator adapted to the desired number of time samples and harmonics.
nabla(→ numpy.ndarray)	Builds the Derivation operator.

Module Contents

pyHarm.DynamicOperator.get_array_nh(nh: int | list[int]) → tuple[numpy.ndarray, bool, int]

pyHarm.DynamicOperator.get_block_anh(anh: numpy.ndarray, is_h0: bool, h_block: int)

pyHarm.DynamicOperator.compute_DFT(nti: int, nh: int | list[int]) → dict[str:np.ndarray]

Builds the Discrete Fourier Transform (DFT) operator adapted to the desired number of time samples and harmonics.

Parameters:

• nti (int) – Number of time steps.

• nh (int) – Number of harmonics.

Returns:

Dictionary containing DFT and DTF operators.

Return type:

dict[np.ndarray]

pyHarm.DynamicOperator.nabla(nh: int | list[int]) → numpy.ndarray

Builds the Derivation operator.

Parameters:

nh (int) – Number of harmonics.

Returns:

Derivation operator in the frequency domain.

Return type:

np.ndarray