pastas.solver.least_squares.LeastSquaresBase.solve
==================================================

.. py:method:: pastas.solver.least_squares.LeastSquaresBase.solve() -> tuple[bool, pandas.DataFrame]
   :abstractmethod:


   
   Solve the optimization problem.

   Abstract method that has to be implemented by all least squares solvers.

   :returns: * *tuple [bool, DataFrame]*
             * **success** (*bool*) -- Boolean indicating whether the optimization was successful.
             * **result** (*pandas.DataFrame*) -- DataFrame with the optimal parameter values and their standard error.
               The index of the DataFrame corresponds to the parameter names, and it
               contains at least the following columns: "optimal", "stderr"















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