Ipopt::TMINLP2TNLP Class Reference

This is an adapter class that converts a TMINLP to a TNLP to be solved by Ipopt. More...

#include <TMINLP2TNLP.hpp>

Inheritance diagram for Ipopt::TMINLP2TNLP:

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List of all members.

Public Member Functions

void copyUserModification (TMINLP2TNLP &other)
 Copies the modification made to TNLP by the user (modifications such as changing bound changing starting point,.
 DECLARE_STD_EXCEPTION (TMINLP_INVALID_VARIABLE_BOUNDS)
void outputDiffs (const std::string &probName, const std::string *varNames)
 Procedure to ouptut relevant informations to reproduce a sub-problem.
bool checkZeroDimension (ApplicationReturnStatus &optimization_status)
 Method called to check wether a problem has still some variable not fixed.
Constructors/Destructors
 TMINLP2TNLP (const SmartPtr< TMINLP > tminlp, const OptionsList &options)
virtual ~TMINLP2TNLP ()
 Default destructor.
Methods to modify the MINLP and form the NLP
Index num_variables ()
 Get the number of variables.
Index num_constraints ()
 Get the number of constraints.
Index nnz_h_lag ()
 Get the nomber of nz in hessian.
const TMINLP::VariableTypevar_types ()
 Get the variable types.
void printVarTypes ()
 Get the number of variables.
const Numberx_l ()
 Get the current values for the lower bounds.
const Numberx_u ()
 Get the current values for the upper bounds.
const Numberorig_x_l () const
 Get the original values for the lower bounds.
const Numberorig_x_u () const
 Get the original values for the upper bounds.
const Numberg_l ()
 Get the current values for constraints lower bounds.
const Numberg_u ()
 Get the current values for constraints upper bounds.
const Numberx_init () const
 get the starting primal point
const Numberduals_init () const
 get the starting dual point
const Numberx_sol () const
 get the solution values
const Numberg_sol () const
 get the g solution (activities)
const Numberduals_sol () const
 get the dual values
SolverReturn optimization_status ()
 Get Optimization status.
Number obj_value ()
 Get the objective value.
void set_obj_value (Number value)
 Manually set objective value.
void force_fractionnal_sol ()
 force solution to be fractionnal.
void SetVariableBounds (Index var_no, Number x_l, Number x_u)
 Change the bounds on the variable.
void SetVariableLowerBound (Index var_no, Number x_l)
 Change the lower bound on the variable.
void SetVariableUpperBound (Index var_no, Number x_u)
 Change the upper bound on the variable.
void SetStartingPoint (Index n, const Number *x_init)
 Change the starting point.
void resetStartingPoint ()
 reset the starting point to original one.
void setxInit (Index ind, const Number val)
 Set component ind of the starting point.
void setxInit (Index n, const Number *x_init)
 set the starting point to x_init
void setDualInit (Index ind, const Number val)
 Set component ind of the dual starting point.
void setDualsInit (Index n, const Number *duals_init)
 set the dual starting point to duals_init
void Set_x_sol (Index n, const Number *x_sol)
 Set the contiuous solution.
void SetVariableType (Index n, TMINLP::VariableType type)
 Change the type of the variable.
methods to gather information about the NLP
virtual bool get_nlp_info (Index &n, Index &m, Index &nnz_jac_g, Index &nnz_h_lag, TNLP::IndexStyleEnum &index_style)
 This call is just passed onto the TMINLP object.
virtual bool get_bounds_info (Index n, Number *x_l, Number *x_u, Index m, Number *g_l, Number *g_u)
 The caller is allowed to modify the bounds, so this method returns the internal bounds information.
virtual bool get_starting_point (Index n, bool init_x, Number *x, bool init_z, Number *z_L, Number *z_U, Index m, bool init_lambda, Number *lambda)
 Method called by Ipopt to get the starting point.
virtual bool get_warm_start_iterate (IteratesVector &warm_start_iterate)
 Methat that returns an Ipopt IteratesVector that has the starting point for all internal varibles.
virtual bool eval_f (Index n, const Number *x, bool new_x, Number &obj_value)
 Returns the value of the objective function in x.
virtual bool eval_grad_f (Index n, const Number *x, bool new_x, Number *grad_f)
 Returns the vector of the gradient of the objective w.r.t.
virtual bool eval_g (Index n, const Number *x, bool new_x, Index m, Number *g)
 Returns the vector of constraint values in x.
virtual bool eval_jac_g (Index n, const Number *x, bool new_x, Index m, Index nele_jac, Index *iRow, Index *jCol, Number *values)
 Returns the jacobian of the constraints.
virtual bool eval_h (Index n, const Number *x, bool new_x, Number obj_factor, Index m, const Number *lambda, bool new_lambda, Index nele_hess, Index *iRow, Index *jCol, Number *values)
 Return the hessian of the lagrangian.
Solution Methods
virtual void finalize_solution (SolverReturn status, Index n, const Number *x, const Number *z_L, const Number *z_U, Index m, const Number *g, const Number *lambda, Number obj_value)
 This method is called when the algorithm is complete so the TNLP can store/write the solution.
virtual bool intermediate_callback (AlgorithmMode mode, Index iter, Number obj_value, Number inf_pr, Number inf_du, Number mu, Number d_norm, Number regularization_size, Number alpha_du, Number alpha_pr, Index ls_trials, const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq)
 Intermediate Callback method for the user.
Methods for setting and getting the warm starter
void SetWarmStarter (SmartPtr< IpoptInteriorWarmStarter > warm_starter)
SmartPtr< IpoptInteriorWarmStarterGetWarmStarter ()

Protected Member Functions

void throw_exception_on_bad_variable_bound (Index i)
 Private method that throws an exception if the variable bounds are not consistent with the variable type.
Default Compiler Generated Methods
(Hidden to avoid implicit creation/calling). These methods are not implemented and we do not want the compiler to implement them for us, so we declare them private and do not define them. This ensures that they will not be implicitly created/called.

 TMINLP2TNLP ()
 Default Constructor.
 TMINLP2TNLP (const TMINLP2TNLP &)
 Copy Constructor.
void operator= (const TMINLP2TNLP &)
 Overloaded Equals Operator.

Protected Attributes

SmartPtr< TMINLPtminlp_
 pointer to the tminlp that is being adapted
Internal copies of data allowing caller to modify the MINLP
Index n_
 Number of variables.
Index m_
 Number of constraints.
Index nnz_h_lag_
 Number of non-zeroes in the lagrangian.
TNLP::IndexStyleEnum index_style_
 index style (fortran or C)
TMINLP::VariableTypevar_types_
 Types of the variable (TMINLP::CONTINUOUS, TMINLP::INTEGER, TMINLP::BINARY).
Numberx_l_
 Current lower bounds on variables.
Numberx_u_
 Current upper bounds on variables.
Numberorig_x_l_
 Original lower bounds on variables.
Numberorig_x_u_
 Original upper bounds on variables.
Numberg_l_
 Lower bounds on constraints values.
Numberg_u_
 Upper bounds on constraints values.
Numberx_init_
 Initial primal point.
Numberduals_init_
 Initial values for all dual multipliers (constraints then lower bounds then upper bounds).
Numberx_init_user_
 User-provideed initial prmal point.
Numberx_sol_
 Optimal solution.
Numberg_sol_
 Activities of constraint g( x_sol_).
Numberduals_sol_
 Dual multipliers of constraints and bounds.
SolverReturn return_status_
 Return status of the optimization process.
Number obj_value_
 Value of the optimal solution found by Ipopt.
Warmstart object and related data
SmartPtr< IpoptInteriorWarmStartercurr_warm_starter_
 Pointer to object that holds warmstart information.
Number nlp_lower_bound_inf_
 Value for a lower bound that denotes -infinity.
Number nlp_upper_bound_inf_
 Value for a upper bound that denotes infinity.
bool warm_start_entire_iterate_
 Option from Ipopt - we currently use it to see if we want to use some clever warm start or just the last iterate from the previous run.
bool need_new_warm_starter_
 Do we need a new warm starter object.

Detailed Description

This is an adapter class that converts a TMINLP to a TNLP to be solved by Ipopt.

It allows an external caller to modify the bounds of variables, allowing the treatment of binary and integer variables as relaxed, or fixed

Definition at line 30 of file TMINLP2TNLP.hpp.


Constructor & Destructor Documentation

Ipopt::TMINLP2TNLP::TMINLP2TNLP ( const SmartPtr< TMINLP tminlp,
const OptionsList options 
)

virtual Ipopt::TMINLP2TNLP::~TMINLP2TNLP (  )  [virtual]

Default destructor.

Ipopt::TMINLP2TNLP::TMINLP2TNLP (  )  [protected]

Default Constructor.

Ipopt::TMINLP2TNLP::TMINLP2TNLP ( const TMINLP2TNLP  )  [protected]

Copy Constructor.


Member Function Documentation

void Ipopt::TMINLP2TNLP::copyUserModification ( TMINLP2TNLP other  ) 

Copies the modification made to TNLP by the user (modifications such as changing bound changing starting point,.

..). this and other should be two instances of the same problem I am trying to mimic a copy construction for Cbc use with great care not safe.

Ipopt::TMINLP2TNLP::DECLARE_STD_EXCEPTION ( TMINLP_INVALID_VARIABLE_BOUNDS   ) 

Index Ipopt::TMINLP2TNLP::num_variables (  )  [inline]

Get the number of variables.

Definition at line 57 of file TMINLP2TNLP.hpp.

References n_.

Index Ipopt::TMINLP2TNLP::num_constraints (  )  [inline]

Get the number of constraints.

Definition at line 63 of file TMINLP2TNLP.hpp.

References m_.

Index Ipopt::TMINLP2TNLP::nnz_h_lag (  )  [inline]

Get the nomber of nz in hessian.

Definition at line 68 of file TMINLP2TNLP.hpp.

References nnz_h_lag_.

const TMINLP::VariableType* Ipopt::TMINLP2TNLP::var_types (  )  [inline]

Get the variable types.

Definition at line 73 of file TMINLP2TNLP.hpp.

References var_types_.

void Ipopt::TMINLP2TNLP::printVarTypes (  )  [inline]

Get the number of variables.

Definition at line 79 of file TMINLP2TNLP.hpp.

const Number* Ipopt::TMINLP2TNLP::x_l (  )  [inline]

Get the current values for the lower bounds.

Definition at line 88 of file TMINLP2TNLP.hpp.

References x_l_.

const Number* Ipopt::TMINLP2TNLP::x_u (  )  [inline]

Get the current values for the upper bounds.

Definition at line 93 of file TMINLP2TNLP.hpp.

References x_u_.

const Number* Ipopt::TMINLP2TNLP::orig_x_l (  )  const [inline]

Get the original values for the lower bounds.

Definition at line 99 of file TMINLP2TNLP.hpp.

References orig_x_l_.

const Number* Ipopt::TMINLP2TNLP::orig_x_u (  )  const [inline]

Get the original values for the upper bounds.

Definition at line 104 of file TMINLP2TNLP.hpp.

References orig_x_u_.

const Number* Ipopt::TMINLP2TNLP::g_l (  )  [inline]

Get the current values for constraints lower bounds.

Definition at line 110 of file TMINLP2TNLP.hpp.

References g_l_.

const Number* Ipopt::TMINLP2TNLP::g_u (  )  [inline]

Get the current values for constraints upper bounds.

Definition at line 115 of file TMINLP2TNLP.hpp.

References g_u_.

const Number* Ipopt::TMINLP2TNLP::x_init (  )  const [inline]

get the starting primal point

Definition at line 121 of file TMINLP2TNLP.hpp.

References x_init_.

const Number* Ipopt::TMINLP2TNLP::duals_init (  )  const [inline]

get the starting dual point

Definition at line 127 of file TMINLP2TNLP.hpp.

References duals_init_.

const Number* Ipopt::TMINLP2TNLP::x_sol (  )  const [inline]

get the solution values

Definition at line 133 of file TMINLP2TNLP.hpp.

References x_sol_.

const Number* Ipopt::TMINLP2TNLP::g_sol (  )  const [inline]

get the g solution (activities)

Definition at line 139 of file TMINLP2TNLP.hpp.

References g_sol_.

const Number* Ipopt::TMINLP2TNLP::duals_sol (  )  const [inline]

get the dual values

Definition at line 145 of file TMINLP2TNLP.hpp.

References duals_sol_.

SolverReturn Ipopt::TMINLP2TNLP::optimization_status (  )  [inline]

Get Optimization status.

Definition at line 151 of file TMINLP2TNLP.hpp.

References return_status_.

Number Ipopt::TMINLP2TNLP::obj_value (  )  [inline]

Get the objective value.

Definition at line 157 of file TMINLP2TNLP.hpp.

References obj_value_.

void Ipopt::TMINLP2TNLP::set_obj_value ( Number  value  )  [inline]

Manually set objective value.

Definition at line 163 of file TMINLP2TNLP.hpp.

References obj_value_.

void Ipopt::TMINLP2TNLP::force_fractionnal_sol (  ) 

force solution to be fractionnal.

void Ipopt::TMINLP2TNLP::SetVariableBounds ( Index  var_no,
Number  x_l,
Number  x_u 
)

Change the bounds on the variable.

void Ipopt::TMINLP2TNLP::SetVariableLowerBound ( Index  var_no,
Number  x_l 
)

Change the lower bound on the variable.

void Ipopt::TMINLP2TNLP::SetVariableUpperBound ( Index  var_no,
Number  x_u 
)

Change the upper bound on the variable.

void Ipopt::TMINLP2TNLP::SetStartingPoint ( Index  n,
const Number x_init 
)

Change the starting point.

void Ipopt::TMINLP2TNLP::resetStartingPoint (  ) 

reset the starting point to original one.

void Ipopt::TMINLP2TNLP::setxInit ( Index  ind,
const Number  val 
)

Set component ind of the starting point.

void Ipopt::TMINLP2TNLP::setxInit ( Index  n,
const Number x_init 
)

set the starting point to x_init

void Ipopt::TMINLP2TNLP::setDualInit ( Index  ind,
const Number  val 
)

Set component ind of the dual starting point.

void Ipopt::TMINLP2TNLP::setDualsInit ( Index  n,
const Number duals_init 
)

set the dual starting point to duals_init

void Ipopt::TMINLP2TNLP::Set_x_sol ( Index  n,
const Number x_sol 
)

Set the contiuous solution.

void Ipopt::TMINLP2TNLP::SetVariableType ( Index  n,
TMINLP::VariableType  type 
)

Change the type of the variable.

void Ipopt::TMINLP2TNLP::outputDiffs ( const std::string &  probName,
const std::string *  varNames 
)

Procedure to ouptut relevant informations to reproduce a sub-problem.

Compare the current problem to the problem to solve and writes files with bounds which have changed and current starting point.

virtual bool Ipopt::TMINLP2TNLP::get_nlp_info ( Index n,
Index m,
Index nnz_jac_g,
Index nnz_h_lag,
TNLP::IndexStyleEnum index_style 
) [virtual]

This call is just passed onto the TMINLP object.

Implements Ipopt::TNLP.

virtual bool Ipopt::TMINLP2TNLP::get_bounds_info ( Index  n,
Number x_l,
Number x_u,
Index  m,
Number g_l,
Number g_u 
) [virtual]

The caller is allowed to modify the bounds, so this method returns the internal bounds information.

Implements Ipopt::TNLP.

virtual bool Ipopt::TMINLP2TNLP::get_starting_point ( Index  n,
bool  init_x,
Number x,
bool  init_z,
Number z_L,
Number z_U,
Index  m,
bool  init_lambda,
Number lambda 
) [virtual]

Method called by Ipopt to get the starting point.

The bools init_x and init_lambda are both inputs and outputs. As inputs, they indicate whether or not the algorithm wants you to initialize x and lambda respectively. If, for some reason, the algorithm wants you to initialize these and you cannot, set the respective bool to false.

Implements Ipopt::TNLP.

virtual bool Ipopt::TMINLP2TNLP::get_warm_start_iterate ( IteratesVector warm_start_iterate  )  [virtual]

Methat that returns an Ipopt IteratesVector that has the starting point for all internal varibles.

Reimplemented from Ipopt::TNLP.

virtual bool Ipopt::TMINLP2TNLP::eval_f ( Index  n,
const Number x,
bool  new_x,
Number obj_value 
) [virtual]

Returns the value of the objective function in x.

Implements Ipopt::TNLP.

virtual bool Ipopt::TMINLP2TNLP::eval_grad_f ( Index  n,
const Number x,
bool  new_x,
Number grad_f 
) [virtual]

Returns the vector of the gradient of the objective w.r.t.

x

Implements Ipopt::TNLP.

virtual bool Ipopt::TMINLP2TNLP::eval_g ( Index  n,
const Number x,
bool  new_x,
Index  m,
Number g 
) [virtual]

Returns the vector of constraint values in x.

Implements Ipopt::TNLP.

virtual bool Ipopt::TMINLP2TNLP::eval_jac_g ( Index  n,
const Number x,
bool  new_x,
Index  m,
Index  nele_jac,
Index iRow,
Index jCol,
Number values 
) [virtual]

Returns the jacobian of the constraints.

The vectors iRow and jCol only need to be set once. The first call is used to set the structure only (iRow and jCol will be non-NULL, and values will be NULL) For subsequent calls, iRow and jCol will be NULL.

Implements Ipopt::TNLP.

virtual bool Ipopt::TMINLP2TNLP::eval_h ( Index  n,
const Number x,
bool  new_x,
Number  obj_factor,
Index  m,
const Number lambda,
bool  new_lambda,
Index  nele_hess,
Index iRow,
Index jCol,
Number values 
) [virtual]

Return the hessian of the lagrangian.

The vectors iRow and jCol only need to be set once (during the first call). The first call is used to set the structure only (iRow and jCol will be non-NULL, and values will be NULL) For subsequent calls, iRow and jCol will be NULL. This matrix is symmetric - specify the lower diagonal only

Reimplemented from Ipopt::TNLP.

virtual void Ipopt::TMINLP2TNLP::finalize_solution ( SolverReturn  status,
Index  n,
const Number x,
const Number z_L,
const Number z_U,
Index  m,
const Number g,
const Number lambda,
Number  obj_value 
) [virtual]

This method is called when the algorithm is complete so the TNLP can store/write the solution.

Implements Ipopt::TNLP.

virtual bool Ipopt::TMINLP2TNLP::intermediate_callback ( AlgorithmMode  mode,
Index  iter,
Number  obj_value,
Number  inf_pr,
Number  inf_du,
Number  mu,
Number  d_norm,
Number  regularization_size,
Number  alpha_du,
Number  alpha_pr,
Index  ls_trials,
const IpoptData ip_data,
IpoptCalculatedQuantities ip_cq 
) [virtual]

Intermediate Callback method for the user.

Providing dummy default implementation. For details see IntermediateCallBack in IpNLP.hpp.

Reimplemented from Ipopt::TNLP.

bool Ipopt::TMINLP2TNLP::checkZeroDimension ( ApplicationReturnStatus optimization_status  ) 

Method called to check wether a problem has still some variable not fixed.

If there are no more unfixed vars, checks wether the solution given by the bounds is feasible.

void Ipopt::TMINLP2TNLP::SetWarmStarter ( SmartPtr< IpoptInteriorWarmStarter warm_starter  )  [inline]

Definition at line 302 of file TMINLP2TNLP.hpp.

References curr_warm_starter_.

SmartPtr<IpoptInteriorWarmStarter> Ipopt::TMINLP2TNLP::GetWarmStarter (  )  [inline]

Definition at line 306 of file TMINLP2TNLP.hpp.

References curr_warm_starter_.

void Ipopt::TMINLP2TNLP::operator= ( const TMINLP2TNLP  )  [protected]

Overloaded Equals Operator.

void Ipopt::TMINLP2TNLP::throw_exception_on_bad_variable_bound ( Index  i  )  [protected]

Private method that throws an exception if the variable bounds are not consistent with the variable type.


Member Data Documentation

SmartPtr<TMINLP> Ipopt::TMINLP2TNLP::tminlp_ [protected]

pointer to the tminlp that is being adapted

Definition at line 331 of file TMINLP2TNLP.hpp.

Index Ipopt::TMINLP2TNLP::n_ [protected]

Number of variables.

Definition at line 336 of file TMINLP2TNLP.hpp.

Referenced by num_variables().

Index Ipopt::TMINLP2TNLP::m_ [protected]

Number of constraints.

Definition at line 338 of file TMINLP2TNLP.hpp.

Referenced by num_constraints().

Index Ipopt::TMINLP2TNLP::nnz_h_lag_ [protected]

Number of non-zeroes in the lagrangian.

Definition at line 340 of file TMINLP2TNLP.hpp.

Referenced by nnz_h_lag().

TNLP::IndexStyleEnum Ipopt::TMINLP2TNLP::index_style_ [protected]

index style (fortran or C)

Definition at line 342 of file TMINLP2TNLP.hpp.

TMINLP::VariableType* Ipopt::TMINLP2TNLP::var_types_ [protected]

Types of the variable (TMINLP::CONTINUOUS, TMINLP::INTEGER, TMINLP::BINARY).

Definition at line 344 of file TMINLP2TNLP.hpp.

Referenced by var_types().

Number* Ipopt::TMINLP2TNLP::x_l_ [protected]

Current lower bounds on variables.

Definition at line 346 of file TMINLP2TNLP.hpp.

Referenced by x_l().

Number* Ipopt::TMINLP2TNLP::x_u_ [protected]

Current upper bounds on variables.

Definition at line 348 of file TMINLP2TNLP.hpp.

Referenced by x_u().

Number* Ipopt::TMINLP2TNLP::orig_x_l_ [protected]

Original lower bounds on variables.

Definition at line 350 of file TMINLP2TNLP.hpp.

Referenced by orig_x_l().

Number* Ipopt::TMINLP2TNLP::orig_x_u_ [protected]

Original upper bounds on variables.

Definition at line 352 of file TMINLP2TNLP.hpp.

Referenced by orig_x_u().

Number* Ipopt::TMINLP2TNLP::g_l_ [protected]

Lower bounds on constraints values.

Definition at line 354 of file TMINLP2TNLP.hpp.

Referenced by g_l().

Number* Ipopt::TMINLP2TNLP::g_u_ [protected]

Upper bounds on constraints values.

Definition at line 356 of file TMINLP2TNLP.hpp.

Referenced by g_u().

Number* Ipopt::TMINLP2TNLP::x_init_ [protected]

Initial primal point.

Definition at line 358 of file TMINLP2TNLP.hpp.

Referenced by x_init().

Number* Ipopt::TMINLP2TNLP::duals_init_ [protected]

Initial values for all dual multipliers (constraints then lower bounds then upper bounds).

Definition at line 360 of file TMINLP2TNLP.hpp.

Referenced by duals_init().

Number* Ipopt::TMINLP2TNLP::x_init_user_ [protected]

User-provideed initial prmal point.

Definition at line 362 of file TMINLP2TNLP.hpp.

Number* Ipopt::TMINLP2TNLP::x_sol_ [protected]

Optimal solution.

Definition at line 364 of file TMINLP2TNLP.hpp.

Referenced by x_sol().

Number* Ipopt::TMINLP2TNLP::g_sol_ [protected]

Activities of constraint g( x_sol_).

Definition at line 366 of file TMINLP2TNLP.hpp.

Referenced by g_sol().

Number* Ipopt::TMINLP2TNLP::duals_sol_ [protected]

Dual multipliers of constraints and bounds.

Definition at line 368 of file TMINLP2TNLP.hpp.

Referenced by duals_sol().

SolverReturn Ipopt::TMINLP2TNLP::return_status_ [protected]

Return status of the optimization process.

Definition at line 371 of file TMINLP2TNLP.hpp.

Referenced by optimization_status().

Number Ipopt::TMINLP2TNLP::obj_value_ [protected]

Value of the optimal solution found by Ipopt.

Definition at line 373 of file TMINLP2TNLP.hpp.

Referenced by obj_value(), and set_obj_value().

SmartPtr<IpoptInteriorWarmStarter> Ipopt::TMINLP2TNLP::curr_warm_starter_ [protected]

Pointer to object that holds warmstart information.

Definition at line 379 of file TMINLP2TNLP.hpp.

Referenced by GetWarmStarter(), and SetWarmStarter().

Number Ipopt::TMINLP2TNLP::nlp_lower_bound_inf_ [protected]

Value for a lower bound that denotes -infinity.

Definition at line 381 of file TMINLP2TNLP.hpp.

Number Ipopt::TMINLP2TNLP::nlp_upper_bound_inf_ [protected]

Value for a upper bound that denotes infinity.

Definition at line 383 of file TMINLP2TNLP.hpp.

bool Ipopt::TMINLP2TNLP::warm_start_entire_iterate_ [protected]

Option from Ipopt - we currently use it to see if we want to use some clever warm start or just the last iterate from the previous run.

Definition at line 387 of file TMINLP2TNLP.hpp.

bool Ipopt::TMINLP2TNLP::need_new_warm_starter_ [protected]

Do we need a new warm starter object.

Definition at line 389 of file TMINLP2TNLP.hpp.


The documentation for this class was generated from the following file:
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