Bonmin 1.8.9
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Bonmin::TMINLP2TNLPQuadCuts Class Reference

This is a derived class fro TMINLP2TNLP to handle adding quadratic cuts. More...

#include <BonTMINLP2Quad.hpp>

+ Inheritance diagram for Bonmin::TMINLP2TNLPQuadCuts:
+ Collaboration diagram for Bonmin::TMINLP2TNLPQuadCuts:

Public Member Functions

Constructors/Destructors
 TMINLP2TNLPQuadCuts (const Ipopt::SmartPtr< Bonmin::TMINLP > tminlp)
 
 TMINLP2TNLPQuadCuts (const TMINLP2TNLPQuadCuts &)
 Copy Constructor.
 
virtual Bonmin::TMINLP2TNLPclone () const
 Virtual copy.
 
virtual ~TMINLP2TNLPQuadCuts ()
 Destructor.
 
methods to gather information about the NLP
virtual bool get_nlp_info (Ipopt::Index &n, Ipopt::Index &m, Ipopt::Index &nnz_jac_g, Ipopt::Index &nnz_h_lag, Ipopt::TNLP::IndexStyleEnum &index_style)
 This call is just passed onto parent class and add number of quadratic cuts.
 
virtual bool get_bounds_info (Ipopt::Index n, Ipopt::Number *x_l, Ipopt::Number *x_u, Ipopt::Index m, Ipopt::Number *g_l, Ipopt::Number *g_u)
 This call is just passed onto parent class and add bounds of quadratic cuts.
 
virtual bool get_constraints_linearity (Ipopt::Index m, Ipopt::TNLP::LinearityType *const_types)
 Returns the constraint linearity.
 
virtual bool get_starting_point (Ipopt::Index n, bool init_x, Ipopt::Number *x, bool init_z, Ipopt::Number *z_L, Ipopt::Number *z_U, Ipopt::Index m, bool init_lambda, Ipopt::Number *lambda)
 This call is just passed onto parent class and add lambda for quadratic cuts.
 
virtual bool get_scaling_parameters (Ipopt::Number &obj_scaling, bool &use_x_scaling, Ipopt::Index n, Ipopt::Number *x_scaling, bool &use_g_scaling, Ipopt::Index m, Ipopt::Number *g_scaling)
 Method that returns scaling parameters (passed to parent all quadratic not scaled).
 
virtual bool eval_f (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Number &obj_value)
 Returns the value of the objective function in x.
 
virtual bool eval_grad_f (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Number *grad_f)
 Returns the vector of the gradient of the objective w.r.t.
 
virtual bool eval_g (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Index m, Ipopt::Number *g)
 Returns the vector of constraint values in x (appends constraint values for quadratics).
 
virtual bool eval_jac_g (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Index m, Ipopt::Index nele_jac, Ipopt::Index *iRow, Ipopt::Index *jCol, Ipopt::Number *values)
 Returns the jacobian of the constraints.
 
virtual bool eval_gi (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Index i, Ipopt::Number &gi)
 compute the value of a single constraint
 
virtual bool eval_grad_gi (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Index i, Ipopt::Index &nele_grad_gi, Ipopt::Index *jCol, Ipopt::Number *values)
 compute the structure or values of the gradient for one constraint
 
virtual bool eval_h (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Number obj_factor, Ipopt::Index m, const Ipopt::Number *lambda, bool new_lambda, Ipopt::Index nele_hess, Ipopt::Index *iRow, Ipopt::Index *jCol, Ipopt::Number *values)
 Return the hessian of the lagrangian.
 
- Public Member Functions inherited from Bonmin::TMINLP2TNLP
 TMINLP2TNLP (const Ipopt::SmartPtr< TMINLP > tminlp)
 
 TMINLP2TNLP (const TMINLP2TNLP &)
 Copy Constructor.
 
virtual ~TMINLP2TNLP ()
 Default destructor.
 
Ipopt::Index num_variables () const
 Get the number of variables.
 
Ipopt::Index num_constraints () const
 Get the number of constraints.
 
Ipopt::Index nnz_h_lag ()
 Get the nomber of nz in hessian.
 
const TMINLP::VariableTypevar_types ()
 Get the variable types.
 
const Ipopt::Numberx_l ()
 Get the current values for the lower bounds.
 
const Ipopt::Numberx_u ()
 Get the current values for the upper bounds.
 
const Ipopt::Numberorig_x_l () const
 Get the original values for the lower bounds.
 
const Ipopt::Numberorig_x_u () const
 Get the original values for the upper bounds.
 
const Ipopt::Numberg_l ()
 Get the current values for constraints lower bounds.
 
const Ipopt::Numberg_u ()
 Get the current values for constraints upper bounds.
 
const Ipopt::Numberx_init () const
 get the starting primal point
 
const Ipopt::Numberx_init_user () const
 get the user provided starting primal point
 
const Ipopt::Numberduals_init () const
 get the starting dual point
 
const Ipopt::Numberx_sol () const
 get the solution values
 
const Ipopt::Numberg_sol () const
 get the g solution (activities)
 
const Ipopt::Numberduals_sol () const
 get the dual values
 
Ipopt::SolverReturn optimization_status () const
 Get Optimization status.
 
Ipopt::Number obj_value () const
 Get the objective value.
 
void set_obj_value (Ipopt::Number value)
 Manually set objective value.
 
void force_fractionnal_sol ()
 force solution to be fractionnal.
 
void SetVariablesBounds (Ipopt::Index n, const Ipopt::Number *x_l, const Ipopt::Number *x_u)
 Change the bounds on the variables.
 
void SetVariablesLowerBounds (Ipopt::Index n, const Ipopt::Number *x_l)
 Change the lower bound on the variables.
 
void SetVariablesUpperBounds (Ipopt::Index n, const Ipopt::Number *x_u)
 Change the upper bound on the variable.
 
void SetVariableBounds (Ipopt::Index var_no, Ipopt::Number x_l, Ipopt::Number x_u)
 Change the bounds on the variable.
 
void SetVariableLowerBound (Ipopt::Index var_no, Ipopt::Number x_l)
 Change the lower bound on the variable.
 
void SetVariableUpperBound (Ipopt::Index var_no, Ipopt::Number x_u)
 Change the upper bound on the variable.
 
void resetStartingPoint ()
 reset the starting point to original one.
 
void setxInit (Ipopt::Index n, const Ipopt::Number *x_init)
 set the starting point to x_init
 
void setDualsInit (Ipopt::Index n, const Ipopt::Number *duals_init)
 set the dual starting point to duals_init
 
int has_x_init ()
 xInit has been set?
 
void Set_x_sol (Ipopt::Index n, const Ipopt::Number *x_sol)
 Set the contiuous solution.
 
void Set_dual_sol (Ipopt::Index n, const Ipopt::Number *dual_sol)
 Set the contiuous dual solution.
 
void SetVariableType (Ipopt::Index n, TMINLP::VariableType type)
 Change the type of the variable.
 
void outputDiffs (const std::string &probName, const std::string *varNames)
 Procedure to ouptut relevant informations to reproduce a sub-problem.
 
virtual bool get_variables_linearity (Ipopt::Index n, LinearityType *var_types)
 Returns the variables linearity.
 
virtual bool hasLinearObjective ()
 returns true if objective is linear.
 
virtual bool get_warm_start_iterate (Ipopt::IteratesVector &warm_start_iterate)
 Methat that returns an Ipopt IteratesVector that has the starting point for all internal varibles.
 
virtual void finalize_solution (Ipopt::SolverReturn status, Ipopt::Index n, const Ipopt::Number *x, const Ipopt::Number *z_L, const Ipopt::Number *z_U, Ipopt::Index m, const Ipopt::Number *g, const Ipopt::Number *lambda, Ipopt::Number obj_value, const Ipopt::IpoptData *ip_data, Ipopt::IpoptCalculatedQuantities *ip_cq)
 This method is called when the algorithm is complete so the TNLP can store/write the solution.
 
virtual bool intermediate_callback (Ipopt::AlgorithmMode mode, Ipopt::Index iter, Ipopt::Number obj_value, Ipopt::Number inf_pr, Ipopt::Number inf_du, Ipopt::Number mu, Ipopt::Number d_norm, Ipopt::Number regularization_size, Ipopt::Number alpha_du, Ipopt::Number alpha_pr, Ipopt::Index ls_trials, const Ipopt::IpoptData *ip_data, Ipopt::IpoptCalculatedQuantities *ip_cq)
 Intermediate Callback method for the user.
 
void SetWarmStarter (Ipopt::SmartPtr< IpoptInteriorWarmStarter > warm_starter)
 
Ipopt::SmartPtr< IpoptInteriorWarmStarterGetWarmStarter ()
 
virtual bool hasUpperBoundingObjective ()
 Say if has a specific function to compute upper bounds.
 
double evaluateUpperBoundingFunction (const double *x)
 Evaluate the upper bounding function at given point and store the result.
 
virtual const int * get_const_xtra_id () const
 Access array describing constraint to which perspectives should be applied.
 
double check_solution (OsiObject **objects=0, int nObjects=-1)
 Round and check the current solution, return norm inf of constraint violation.
 
- Public Member Functions inherited from Ipopt::TNLP
 DECLARE_STD_EXCEPTION (INVALID_TNLP)
 
 TNLP ()
 
virtual ~TNLP ()
 
virtual bool get_var_con_metadata (Index n, StringMetaDataMapType &var_string_md, IntegerMetaDataMapType &var_integer_md, NumericMetaDataMapType &var_numeric_md, Index m, StringMetaDataMapType &con_string_md, IntegerMetaDataMapType &con_integer_md, NumericMetaDataMapType &con_numeric_md)
 
virtual Index get_number_of_nonlinear_variables ()
 
virtual bool get_list_of_nonlinear_variables (Index num_nonlin_vars, Index *pos_nonlin_vars)
 
virtual void finalize_metadata (Index n, const StringMetaDataMapType &var_string_md, const IntegerMetaDataMapType &var_integer_md, const NumericMetaDataMapType &var_numeric_md, Index m, const StringMetaDataMapType &con_string_md, const IntegerMetaDataMapType &con_integer_md, const NumericMetaDataMapType &con_numeric_md)
 
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)
 
bool get_curr_iterate (const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq, bool scaled, Index n, Number *x, Number *z_L, Number *z_U, Index m, Number *g, Number *lambda) const
 
bool get_curr_violations (const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq, bool scaled, Index n, Number *x_L_violation, Number *x_U_violation, Number *compl_x_L, Number *compl_x_U, Number *grad_lag_x, Index m, Number *nlp_constraint_violation, Number *compl_g) const
 
 TNLP ()
 
virtual ~TNLP ()
 
virtual bool get_var_con_metadata (Index n, StringMetaDataMapType &var_string_md, IntegerMetaDataMapType &var_integer_md, NumericMetaDataMapType &var_numeric_md, Index m, StringMetaDataMapType &con_string_md, IntegerMetaDataMapType &con_integer_md, NumericMetaDataMapType &con_numeric_md)
 
virtual Index get_number_of_nonlinear_variables ()
 
virtual bool get_list_of_nonlinear_variables (Index num_nonlin_vars, Index *pos_nonlin_vars)
 
virtual void finalize_metadata (Index n, const StringMetaDataMapType &var_string_md, const IntegerMetaDataMapType &var_integer_md, const NumericMetaDataMapType &var_numeric_md, Index m, const StringMetaDataMapType &con_string_md, const IntegerMetaDataMapType &con_integer_md, const NumericMetaDataMapType &con_numeric_md)
 
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)
 
bool get_curr_iterate (const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq, bool scaled, Index n, Number *x, Number *z_L, Number *z_U, Index m, Number *g, Number *lambda) const
 
bool get_curr_violations (const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq, bool scaled, Index n, Number *x_L_violation, Number *x_U_violation, Number *compl_x_L, Number *compl_x_U, Number *grad_lag_x, Index m, Number *nlp_constraint_violation, Number *compl_g) const
 
- Public Member Functions inherited from Ipopt::ReferencedObject
 ReferencedObject ()
 
virtual ~ReferencedObject ()
 
Index ReferenceCount () const
 
void AddRef (const Referencer *referencer) const
 
void ReleaseRef (const Referencer *referencer) const
 

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.

 TMINLP2TNLPQuadCuts ()
 Default Constructor.
 
TMINLP2TNLPQuadCutsoperator= (const TMINLP2TNLP &)
 Overloaded Equals Operator.
 

Cuts management.

void addCuts (const Cuts &cuts, bool safe)
 Add some linear or quadratic cuts to the problem formulation if some of the OsiRowCuts are quadratic they will be well understood as long as safe is true.
 
void addCuts (const OsiCuts &cuts)
 Add some cuts to the problem formulaiton (handles Quadratics).
 
virtual void addCuts (unsigned int numberCuts, const OsiRowCut **cuts)
 Add some linear cuts to the problem formulation.
 
void removeCuts (unsigned int number, const int *toRemove)
 Remove some cuts from the formulation.
 
void set_linear_objective (int n_var, const double *obj, double c_0)
 Change objective to a linear one whith given objective function.
 
void reset_objective ()
 Reset objective to original one.
 
void addRowCuts (const OsiCuts &cuts, bool safe)
 Add some cuts to the problem formulaiton (handles Quadratics).
 

Additional Inherited Members

- Public Types inherited from Ipopt::TNLP
enum  LinearityType
 
enum  IndexStyleEnum
 
typedef std::map< std::string, std::vector< std::string > > StringMetaDataMapType
 
typedef std::map< std::string, std::vector< Index > > IntegerMetaDataMapType
 
typedef std::map< std::string, std::vector< Number > > NumericMetaDataMapType
 
- Public Attributes inherited from Ipopt::TNLP
 LINEAR
 
 NON_LINEAR
 
 C_STYLE
 
 FORTRAN_STYLE
 
- Protected Member Functions inherited from Bonmin::TMINLP2TNLP
Ipopt::Index nnz_h_lag () const
 Access number of entries in tminlp_ hessian.
 
Ipopt::Index nnz_jac_g () const
 Access number of entries in tminlp_ hessian.
 
TNLP::IndexStyleEnum index_style () const
 Acces index_style.
 
- Protected Attributes inherited from Bonmin::TMINLP2TNLP
vector< TMINLP::VariableTypevar_types_
 Types of the variable (TMINLP::CONTINUOUS, TMINLP::INTEGER, TMINLP::BINARY).
 
vector< Ipopt::Numberx_l_
 Current lower bounds on variables.
 
vector< Ipopt::Numberx_u_
 Current upper bounds on variables.
 
vector< Ipopt::Numberorig_x_l_
 Original lower bounds on variables.
 
vector< Ipopt::Numberorig_x_u_
 Original upper bounds on variables.
 
vector< Ipopt::Numberg_l_
 Lower bounds on constraints values.
 
vector< Ipopt::Numberg_u_
 Upper bounds on constraints values.
 
vector< Ipopt::Numberx_init_
 Initial primal point.
 
Ipopt::Numberduals_init_
 Initial values for all dual multipliers (constraints then lower bounds then upper bounds)
 
vector< Ipopt::Numberx_init_user_
 User-provideed initial prmal point.
 
vector< Ipopt::Numberx_sol_
 Optimal solution.
 
vector< Ipopt::Numberg_sol_
 Activities of constraint g( x_sol_)
 
vector< Ipopt::Numberduals_sol_
 Dual multipliers of constraints and bounds.
 

Detailed Description

This is a derived class fro TMINLP2TNLP to handle adding quadratic cuts.

Definition at line 22 of file BonTMINLP2Quad.hpp.

Constructor & Destructor Documentation

◆ TMINLP2TNLPQuadCuts() [1/3]

Bonmin::TMINLP2TNLPQuadCuts::TMINLP2TNLPQuadCuts ( const Ipopt::SmartPtr< Bonmin::TMINLP > tminlp)

◆ TMINLP2TNLPQuadCuts() [2/3]

Bonmin::TMINLP2TNLPQuadCuts::TMINLP2TNLPQuadCuts ( const TMINLP2TNLPQuadCuts & )

Copy Constructor.

Warning
source and copy point to the same tminlp_.

◆ ~TMINLP2TNLPQuadCuts()

virtual Bonmin::TMINLP2TNLPQuadCuts::~TMINLP2TNLPQuadCuts ( )
virtual

Destructor.

◆ TMINLP2TNLPQuadCuts() [3/3]

Bonmin::TMINLP2TNLPQuadCuts::TMINLP2TNLPQuadCuts ( )
protected

Default Constructor.

Member Function Documentation

◆ clone()

virtual Bonmin::TMINLP2TNLP * Bonmin::TMINLP2TNLPQuadCuts::clone ( ) const
inlinevirtual

Virtual copy.

Reimplemented from Bonmin::TMINLP2TNLP.

Definition at line 41 of file BonTMINLP2Quad.hpp.

◆ get_nlp_info()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::get_nlp_info ( Ipopt::Index & n,
Ipopt::Index & m,
Ipopt::Index & nnz_jac_g,
Ipopt::Index & nnz_h_lag,
Ipopt::TNLP::IndexStyleEnum & index_style )
virtual

This call is just passed onto parent class and add number of quadratic cuts.

Reimplemented from Bonmin::TMINLP2TNLP.

◆ get_bounds_info()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::get_bounds_info ( Ipopt::Index n,
Ipopt::Number * x_l,
Ipopt::Number * x_u,
Ipopt::Index m,
Ipopt::Number * g_l,
Ipopt::Number * g_u )
virtual

This call is just passed onto parent class and add bounds of quadratic cuts.

Reimplemented from Bonmin::TMINLP2TNLP.

◆ get_constraints_linearity()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::get_constraints_linearity ( Ipopt::Index m,
Ipopt::TNLP::LinearityType * const_types )
virtual

Returns the constraint linearity.

array should be alocated with length at least m..

Reimplemented from Bonmin::TMINLP2TNLP.

◆ get_starting_point()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::get_starting_point ( Ipopt::Index n,
bool init_x,
Ipopt::Number * x,
bool init_z,
Ipopt::Number * z_L,
Ipopt::Number * z_U,
Ipopt::Index m,
bool init_lambda,
Ipopt::Number * lambda )
virtual

This call is just passed onto parent class and add lambda for quadratic cuts.

Reimplemented from Bonmin::TMINLP2TNLP.

◆ get_scaling_parameters()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::get_scaling_parameters ( Ipopt::Number & obj_scaling,
bool & use_x_scaling,
Ipopt::Index n,
Ipopt::Number * x_scaling,
bool & use_g_scaling,
Ipopt::Index m,
Ipopt::Number * g_scaling )
virtual

Method that returns scaling parameters (passed to parent all quadratic not scaled).

Reimplemented from Bonmin::TMINLP2TNLP.

◆ eval_f()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::eval_f ( Ipopt::Index n,
const Ipopt::Number * x,
bool new_x,
Ipopt::Number & obj_value )
virtual

Returns the value of the objective function in x.

Reimplemented from Bonmin::TMINLP2TNLP.

◆ eval_grad_f()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::eval_grad_f ( Ipopt::Index n,
const Ipopt::Number * x,
bool new_x,
Ipopt::Number * grad_f )
virtual

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

x

Reimplemented from Bonmin::TMINLP2TNLP.

◆ eval_g()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::eval_g ( Ipopt::Index n,
const Ipopt::Number * x,
bool new_x,
Ipopt::Index m,
Ipopt::Number * g )
virtual

Returns the vector of constraint values in x (appends constraint values for quadratics).

Reimplemented from Bonmin::TMINLP2TNLP.

◆ eval_jac_g()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::eval_jac_g ( Ipopt::Index n,
const Ipopt::Number * x,
bool new_x,
Ipopt::Index m,
Ipopt::Index nele_jac,
Ipopt::Index * iRow,
Ipopt::Index * jCol,
Ipopt::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.

Reimplemented from Bonmin::TMINLP2TNLP.

◆ eval_gi()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::eval_gi ( Ipopt::Index n,
const Ipopt::Number * x,
bool new_x,
Ipopt::Index i,
Ipopt::Number & gi )
virtual

compute the value of a single constraint

Reimplemented from Bonmin::TMINLP2TNLP.

◆ eval_grad_gi()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::eval_grad_gi ( Ipopt::Index n,
const Ipopt::Number * x,
bool new_x,
Ipopt::Index i,
Ipopt::Index & nele_grad_gi,
Ipopt::Index * jCol,
Ipopt::Number * values )
virtual

compute the structure or values of the gradient for one constraint

Reimplemented from Bonmin::TMINLP2TNLP.

◆ eval_h()

virtual bool Bonmin::TMINLP2TNLPQuadCuts::eval_h ( Ipopt::Index n,
const Ipopt::Number * x,
bool new_x,
Ipopt::Number obj_factor,
Ipopt::Index m,
const Ipopt::Number * lambda,
bool new_lambda,
Ipopt::Index nele_hess,
Ipopt::Index * iRow,
Ipopt::Index * jCol,
Ipopt::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 Bonmin::TMINLP2TNLP.

◆ addCuts() [1/3]

void Bonmin::TMINLP2TNLPQuadCuts::addCuts ( const Cuts & cuts,
bool safe )

Add some linear or quadratic cuts to the problem formulation if some of the OsiRowCuts are quadratic they will be well understood as long as safe is true.

◆ addCuts() [2/3]

void Bonmin::TMINLP2TNLPQuadCuts::addCuts ( const OsiCuts & cuts)
virtual

Add some cuts to the problem formulaiton (handles Quadratics).

Reimplemented from Bonmin::TMINLP2TNLP.

◆ addCuts() [3/3]

virtual void Bonmin::TMINLP2TNLPQuadCuts::addCuts ( unsigned int numberCuts,
const OsiRowCut ** cuts )
virtual

Add some linear cuts to the problem formulation.

Reimplemented from Bonmin::TMINLP2TNLP.

◆ removeCuts()

void Bonmin::TMINLP2TNLPQuadCuts::removeCuts ( unsigned int number,
const int * toRemove )
virtual

Remove some cuts from the formulation.

Reimplemented from Bonmin::TMINLP2TNLP.

◆ set_linear_objective()

void Bonmin::TMINLP2TNLPQuadCuts::set_linear_objective ( int n_var,
const double * obj,
double c_0 )

Change objective to a linear one whith given objective function.

◆ reset_objective()

void Bonmin::TMINLP2TNLPQuadCuts::reset_objective ( )
inline

Reset objective to original one.

Definition at line 148 of file BonTMINLP2Quad.hpp.

◆ addRowCuts()

void Bonmin::TMINLP2TNLPQuadCuts::addRowCuts ( const OsiCuts & cuts,
bool safe )
protected

Add some cuts to the problem formulaiton (handles Quadratics).

◆ operator=()

TMINLP2TNLPQuadCuts & Bonmin::TMINLP2TNLPQuadCuts::operator= ( const TMINLP2TNLP & )
protected

Overloaded Equals Operator.


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