MindtPy\_FP\_Solver
===================

(class from :py:mod:`pyomo.contrib.mindtpy.feasibility_pump`)

.. testsetup:: *

   # import everything from the module containing this class so that
   # doctests for the class docstrings see the correct environment
   from pyomo.contrib.mindtpy.feasibility_pump import *
   try:
       from pyomo.contrib.mindtpy.feasibility_pump import _autosummary_doctest_setup
       _autosummary_doctest_setup()
   except ImportError:
       pass

.. currentmodule:: pyomo.contrib.mindtpy.feasibility_pump



.. autoclass:: pyomo.contrib.mindtpy.feasibility_pump::MindtPy_FP_Solver
   :members:
   :show-inheritance:
   :inherited-members:

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~MindtPy_FP_Solver.MindtPy_initialization
      ~MindtPy_FP_Solver.MindtPy_iteration_loop
      ~MindtPy_FP_Solver.__init__
      ~MindtPy_FP_Solver.add_cuts
      ~MindtPy_FP_Solver.add_cuts_components
      ~MindtPy_FP_Solver.add_regularization
      ~MindtPy_FP_Solver.algorithm_should_terminate
      ~MindtPy_FP_Solver.available
      ~MindtPy_FP_Solver.bounds_converged
      ~MindtPy_FP_Solver.build_ordered_component_lists
      ~MindtPy_FP_Solver.check_config
      ~MindtPy_FP_Solver.check_subsolver_validity
      ~MindtPy_FP_Solver.create_utility_block
      ~MindtPy_FP_Solver.fix_dual_bound
      ~MindtPy_FP_Solver.fp_loop
      ~MindtPy_FP_Solver.get_dual_integral
      ~MindtPy_FP_Solver.get_integral_info
      ~MindtPy_FP_Solver.get_primal_integral
      ~MindtPy_FP_Solver.get_solution_name_obj
      ~MindtPy_FP_Solver.handle_feasibility_subproblem_tc
      ~MindtPy_FP_Solver.handle_fp_main_tc
      ~MindtPy_FP_Solver.handle_fp_subproblem_optimal
      ~MindtPy_FP_Solver.handle_main_infeasible
      ~MindtPy_FP_Solver.handle_main_max_timelimit
      ~MindtPy_FP_Solver.handle_main_mip_termination
      ~MindtPy_FP_Solver.handle_main_optimal
      ~MindtPy_FP_Solver.handle_main_unbounded
      ~MindtPy_FP_Solver.handle_nlp_subproblem_tc
      ~MindtPy_FP_Solver.handle_regularization_main_tc
      ~MindtPy_FP_Solver.handle_subproblem_infeasible
      ~MindtPy_FP_Solver.handle_subproblem_optimal
      ~MindtPy_FP_Solver.handle_subproblem_other_termination
      ~MindtPy_FP_Solver.init_max_binaries
      ~MindtPy_FP_Solver.init_rNLP
      ~MindtPy_FP_Solver.initialize_mip_problem
      ~MindtPy_FP_Solver.initialize_subsolvers
      ~MindtPy_FP_Solver.iteration_cycling
      ~MindtPy_FP_Solver.license_is_valid
      ~MindtPy_FP_Solver.load_solution
      ~MindtPy_FP_Solver.model_is_valid
      ~MindtPy_FP_Solver.objective_reformulation
      ~MindtPy_FP_Solver.process_objective
      ~MindtPy_FP_Solver.reached_iteration_limit
      ~MindtPy_FP_Solver.reached_stalling_limit
      ~MindtPy_FP_Solver.reached_time_limit
      ~MindtPy_FP_Solver.set_appsi_solver_update_config
      ~MindtPy_FP_Solver.set_up_lazy_OA_callback
      ~MindtPy_FP_Solver.set_up_logger
      ~MindtPy_FP_Solver.set_up_mip_solver
      ~MindtPy_FP_Solver.set_up_solve_data
      ~MindtPy_FP_Solver.set_up_tabulist_callback
      ~MindtPy_FP_Solver.setup_fp_main
      ~MindtPy_FP_Solver.setup_main
      ~MindtPy_FP_Solver.setup_regularization_main
      ~MindtPy_FP_Solver.solve
      ~MindtPy_FP_Solver.solve_feasibility_subproblem
      ~MindtPy_FP_Solver.solve_fp_main
      ~MindtPy_FP_Solver.solve_fp_subproblem
      ~MindtPy_FP_Solver.solve_main
      ~MindtPy_FP_Solver.solve_regularization_main
      ~MindtPy_FP_Solver.solve_subproblem
      ~MindtPy_FP_Solver.update_dual_bound
      ~MindtPy_FP_Solver.update_gap
      ~MindtPy_FP_Solver.update_primal_bound
      ~MindtPy_FP_Solver.update_result
      ~MindtPy_FP_Solver.update_suboptimal_dual_bound
      ~MindtPy_FP_Solver.version
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~MindtPy_FP_Solver.CONFIG
   
   

   .. rubric:: Member Documentation