pastas.solver.least_squares.Lmfit
=================================

.. toctree::
   :hidden:

   /api/pastas/solver/least_squares/Lmfit.solve
   /api/pastas/solver/least_squares/Lmfit.objfunction
   /api/pastas/solver/least_squares/Lmfit.fit_report
   /api/pastas/solver/least_squares/Lmfit.to_dict

.. py:class:: pastas.solver.least_squares.Lmfit(name: str = 'solver', method: Literal['leastsq'] = 'leastsq', pcov: pandas.DataFrame | None = None, **kwargs)



   
   Solving the model using the LmFit :cite:p:`newville_lmfitlmfit-py_2019`.

   This is basically a wrapper around the SciPy Levenberg Marquardt solver ("leastsq").
   Lmfit adds some functionality for gracefully handling boundary conditions.

   .. rubric:: Notes

   https://github.com/lmfit/lmfit-py/















   ..
       !! processed by numpydoc !!
Methods
-------

.. autoapisummary::

   pastas.solver.least_squares.Lmfit.solve
   pastas.solver.least_squares.Lmfit.objfunction
   pastas.solver.least_squares.Lmfit.fit_report
   pastas.solver.least_squares.Lmfit.to_dict