pyeit_inverse

class nrv.eit.pyeit_inverse(data: None | eit_forward_results = None, method: Literal['jac', 'bp'] = 'jac', **kwgs)[source]: Subclass of eit_inverse for performing Electrical Impedance Tomography (EIT) inverse problem solving using PyEIT methods.

Attributes

`pyeit_inverse.data`	Forward EIT data used by the inverse solver.
`pyeit_inverse.has_data`	Check if the object contains data.

`pyeit_inverse.__init__`([data, method])	Initialize a PyEIT-based inverse solver.
`pyeit_inverse.cbar`(ax[, i_to_solve, i_t, ...])	Add a colorbar for a reconstructed PyEIT image.
`pyeit_inverse.clear_all_results`()	Clears all stored results by resetting the results and results_ppt attributes to empty lists.
`pyeit_inverse.clear_results`([i_t, i_f, i_res])	Removes the result entry corresponding to the specified indices from the results.
`pyeit_inverse.fromat_data`([i_t, i_f, i_res, ...])	Reformat NRV forward data into the flattened differential vector expected by PyEIT.
`pyeit_inverse.get_results`([i_t, i_f, i_res])	Retrieves the computed result for the specified time, frequency, and result indices.
`pyeit_inverse.get_results_range`([i_t, i_f, ...])	Return the value range of one reconstructed result.
`pyeit_inverse.plot`(ax[, i_t, i_f, i_res, filter])	Plot one reconstructed PyEIT image on a triangulated mesh.
`pyeit_inverse.set_inversor`([method, inv_params])	Instantiate and configure the PyEIT inverse solver object.
`pyeit_inverse.solve`([i_t, i_f, i_res])	Solve one or several inverse problems and cache the results.
`pyeit_inverse.update_mesh`([newmesh, h0])	Set or regenerate the PyEIT reconstruction mesh.