Public Member Functions | Public Attributes | Private Attributes | List of all members
BonminProblem Class Reference

#include <OSBonminSolver.h>

Inheritance diagram for BonminProblem:
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Public Member Functions

 BonminProblem (OSInstance *osinstance_, OSOption *osoption_)
 the BonminProblemclass constructor More...
 
virtual ~BonminProblem ()
 the BonminProblem class destructor More...
 
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)
 overload this method to return scaling parameters. More...
 
virtual const SosInfososConstraints () const
 
virtual const BranchingInfobranchingInfo () const
 
void printSolutionAtEndOfAlgorithm ()
 
Overloaded functions specific to a TMINLP.

now for some pure Bonmin methods

virtual bool get_variables_types (Ipopt::Index n, VariableType *var_types)
 Pass the type of the variables (INTEGER, BINARY, CONTINUOUS) to the optimizer. More...
 
virtual bool get_variables_linearity (Ipopt::Index n, Ipopt::TNLP::LinearityType *var_types)
 Pass info about linear and nonlinear variables. More...
 
virtual bool get_constraints_linearity (Ipopt::Index m, Ipopt::TNLP::LinearityType *const_types)
 Pass the type of the constraints (LINEAR, NON_LINEAR) to the optimizer. More...
 
Overloaded functions defining a TNLP.

This group of function implement the various elements needed to define and solve a TNLP.

They are the same as those in a standard Ipopt NLP problem

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)
 Method to pass the main dimensions of the problem to Ipopt. More...
 
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)
 Bonmin specific methods for defining the nlp problem. More...
 
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)
 Method to return the starting point for the algorithm. More...
 
virtual bool eval_f (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Number &obj_value)
 Method to return the objective value. More...
 
virtual bool eval_grad_f (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Number *grad_f)
 Method to return the gradient of the objective. More...
 
virtual bool eval_g (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Index m, Ipopt::Number *g)
 Method to return the constraint residuals. More...
 
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)
 Method to return: 1) The structure of the jacobian (if "values" is NULL) 2) The values of the jacobian (if "values" is not NULL) More...
 
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)
 Method to return: 1) The structure of the hessian of the lagrangian (if "values" is NULL) 2) The values of the hessian of the lagrangian (if "values" is not NULL) More...
 
Solution Methods
virtual void finalize_solution (Bonmin::TMINLP::SolverReturn status_, Ipopt::Index n, const Ipopt::Number *x, Ipopt::Number obj_value)
 Method called by Ipopt at the end of optimization. More...
 
- Public Member Functions inherited from Bonmin::TMINLP
virtual const PerturbInfoperturbInfo () const
 
virtual bool hasUpperBoundingObjective ()
 Say if has a specific function to compute upper bounds. More...
 
virtual bool eval_upper_bound_f (Ipopt::Index n, const Ipopt::Number *x, Ipopt::Number &obj_value)
 overload this method to return the value of an alternative objective function for upper bounding (to use it hasUpperBoundingObjective should return true). More...
 
virtual bool get_constraint_convexities (int m, TMINLP::Convexity *constraints_convexities) const
 Get accest to constraint convexities. More...
 
virtual bool get_number_nonconvex (int &number_non_conv, int &number_concave) const
 Get dimension information on nonconvex constraints. More...
 
virtual bool get_constraint_convexities (int number_non_conv, MarkedNonConvex *non_convs) const
 Get array describing the constraints marked nonconvex in the model. More...
 
virtual bool get_simple_concave_constraints (int number_concave, SimpleConcaveConstraint *simple_concave) const
 Fill array containing indices of simple concave constraints. More...
 
virtual bool hasLinearObjective ()
 Say if problem has a linear objective (for OA) More...
 
bool hasGeneralInteger ()
 Say if problem has general integer variables. More...
 
virtual const intget_const_xtra_id () const
 Access array describing constraint to which perspectives should be applied. More...
 
 TMINLP ()
 Default destructor. More...
 
virtual ~TMINLP ()
 Default destructor. More...
 
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. More...
 
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. More...
 

Public Attributes

OSInstanceosinstance
 
OSOptionosoption
 
Bonmin::TMINLP::SolverReturn status
 

Private Attributes

bool printSol_
 
std::string bonminErrorMsg
 

Additional Inherited Members

- Public Types inherited from Bonmin::TMINLP
enum  SolverReturn {
  SUCCESS, INFEASIBLE, CONTINUOUS_UNBOUNDED, LIMIT_EXCEEDED,
  USER_INTERRUPT, MINLP_ERROR
}
 Return statuses of algorithm. More...
 
enum  VariableType { CONTINUOUS, BINARY, INTEGER }
 Type of the variables. More...
 
enum  Convexity { Convex, NonConvex, SimpleConcave }
 Used to mark constraints of the problem. More...
 
- Protected Member Functions inherited from Bonmin::TMINLP
 TMINLP (const TMINLP &)
 Copy constructor. More...
 
void operator= (const TMINLP &)
 Overloaded Equals Operator. More...
 

Detailed Description

Definition at line 53 of file OSBonminSolver.h.

Constructor & Destructor Documentation

BonminProblem::BonminProblem ( OSInstance osinstance_,
OSOption osoption_ 
)

the BonminProblemclass constructor

Definition at line 1152 of file OSBonminSolver.cpp.

BonminProblem::~BonminProblem ( )
virtual

the BonminProblem class destructor

Definition at line 1159 of file OSBonminSolver.cpp.

Member Function Documentation

bool BonminProblem::get_variables_types ( Ipopt::Index  n,
VariableType var_types 
)
virtual

Pass the type of the variables (INTEGER, BINARY, CONTINUOUS) to the optimizer.

Parameters
nsize of var_types (has to be equal to the number of variables in the problem)
var_typestypes of the variables (has to be filled by function).

Implements Bonmin::TMINLP.

Definition at line 68 of file OSBonminSolver.cpp.

bool BonminProblem::get_variables_linearity ( Ipopt::Index  n,
Ipopt::TNLP::LinearityType *  var_types 
)
virtual

Pass info about linear and nonlinear variables.

get an index map of the nonlinear variables and see which variable are in <nonlinearExpressions> element

iterate through and get an index of all variables that are in <nonlinearExpressions> element

Implements Bonmin::TMINLP.

Definition at line 103 of file OSBonminSolver.cpp.

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

Pass the type of the constraints (LINEAR, NON_LINEAR) to the optimizer.

Parameters
msize of const_types (has to be equal to the number of constraints in the problem)
const_typestypes of the constraints (has to be filled by function).

Implements Bonmin::TMINLP.

Definition at line 149 of file OSBonminSolver.cpp.

bool BonminProblem::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

Method to pass the main dimensions of the problem to Ipopt.

Parameters
nnumber of variables in problem.
mnumber of constraints.
nnz_jac_gnumber of nonzeroes in Jacobian of constraints system.
nnz_h_lagnumber of nonzeroes in Hessian of the Lagrangean.
index_styleindicate wether arrays are numbered from 0 (C-style) or from 1 (Fortran).
Returns
true in case of success.

Implements Bonmin::TMINLP.

Definition at line 177 of file OSBonminSolver.cpp.

bool BonminProblem::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

Bonmin specific methods for defining the nlp problem.

Method to return the bounds for my problem

Implements Bonmin::TMINLP.

Definition at line 246 of file OSBonminSolver.cpp.

bool BonminProblem::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

Method to return the starting point for the algorithm.

Implements Bonmin::TMINLP.

Definition at line 295 of file OSBonminSolver.cpp.

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

Method to return the objective value.

Implements Bonmin::TMINLP.

Definition at line 439 of file OSBonminSolver.cpp.

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

Method to return the gradient of the objective.

Implements Bonmin::TMINLP.

Definition at line 465 of file OSBonminSolver.cpp.

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

Method to return the constraint residuals.

Implements Bonmin::TMINLP.

Definition at line 498 of file OSBonminSolver.cpp.

bool BonminProblem::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

Method to return: 1) The structure of the jacobian (if "values" is NULL) 2) The values of the jacobian (if "values" is not NULL)

Implements Bonmin::TMINLP.

Definition at line 520 of file OSBonminSolver.cpp.

bool BonminProblem::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

Method to return: 1) The structure of the hessian of the lagrangian (if "values" is NULL) 2) The values of the hessian of the lagrangian (if "values" is not NULL)

Implements Bonmin::TMINLP.

Definition at line 571 of file OSBonminSolver.cpp.

bool BonminProblem::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

overload this method to return scaling parameters.

This is only called if the options are set to retrieve user scaling. There, use_x_scaling (or use_g_scaling) should get set to true only if the variables (or constraints) are to be scaled. This method should return true only if the scaling parameters could be provided.

Reimplemented from Bonmin::TMINLP.

Definition at line 623 of file OSBonminSolver.cpp.

void BonminProblem::finalize_solution ( Bonmin::TMINLP::SolverReturn  status_,
Ipopt::Index  n,
const Ipopt::Number *  x,
Ipopt::Number  obj_value 
)
virtual

Method called by Ipopt at the end of optimization.

Implements Bonmin::TMINLP.

Definition at line 644 of file OSBonminSolver.cpp.

virtual const SosInfo* BonminProblem::sosConstraints ( ) const
inlinevirtual

Implements Bonmin::TMINLP.

Definition at line 166 of file OSBonminSolver.h.

virtual const BranchingInfo* BonminProblem::branchingInfo ( ) const
inlinevirtual

Implements Bonmin::TMINLP.

Definition at line 170 of file OSBonminSolver.h.

void BonminProblem::printSolutionAtEndOfAlgorithm ( )
inline

Definition at line 175 of file OSBonminSolver.h.

Member Data Documentation

OSInstance* BonminProblem::osinstance

Definition at line 66 of file OSBonminSolver.h.

OSOption* BonminProblem::osoption

Definition at line 68 of file OSBonminSolver.h.

Bonmin::TMINLP::SolverReturn BonminProblem::status

Definition at line 70 of file OSBonminSolver.h.

bool BonminProblem::printSol_
private

Definition at line 185 of file OSBonminSolver.h.

std::string BonminProblem::bonminErrorMsg
private

Definition at line 205 of file OSBonminSolver.h.


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