Implementation of Example 5.2 from "Sparse and Parially Separable Test Problems for Unconstrained and Equality Constrained Optimization" by L. More...

#include <LuksanVlcek2.hpp>

Inheritance diagram for LuksanVlcek2:

Public Member Functions
	LuksanVlcek2 (Number g_l, Number g_u)
	Constructor. More...

virtual	~LuksanVlcek2 ()
	Default destructor. More...

virtual bool	InitializeProblem (Index N)
	Overloaded from RegisteredTNLP. More...

Overloaded from TNLP
virtual bool	get_nlp_info (Index &n, Index &m, Index &nnz_jac_g, Index &nnz_h_lag, IndexStyleEnum &index_style)
	Method to return some info about the nlp. More...

virtual bool	get_bounds_info (Index n, Number x_l, Number x_u, Index m, Number g_l, Number g_u)
	Method to return the bounds for my problem. More...

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 to return the starting point for the algorithm. More...

virtual bool	eval_f (Index n, const Number *x, bool new_x, Number &obj_value)
	Method to return the objective value. More...

virtual bool	eval_grad_f (Index n, const Number x, bool new_x, Number grad_f)
	Method to return the gradient of the objective. More...

virtual bool	eval_g (Index n, const Number x, bool new_x, Index m, Number g)
	Method to return the constraint residuals. More...

virtual bool	eval_jac_g (Index n, const Number x, bool new_x, Index m, Index nele_jac, Index iRow, Index jCol, 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 (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)
	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 (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, const IpoptData ip_data, IpoptCalculatedQuantities *ip_cq)
	This method is called when the algorithm is complete so the TNLP can store/write the solution. More...

Public Member Functions inherited from Ipopt::TNLP
	DECLARE_STD_EXCEPTION (INVALID_TNLP)

	TNLP ()

virtual	~TNLP ()
	Default destructor. More...

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)
	This method is called just before finalize_solution. More...

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. More...

virtual Index	get_number_of_nonlinear_variables ()

virtual bool	get_list_of_nonlinear_variables (Index num_nonlin_vars, Index *pos_nonlin_vars)

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)
	overload this method to return any meta data for the variables and the constraints More...

virtual bool	get_scaling_parameters (Number &obj_scaling, bool &use_x_scaling, Index n, Number x_scaling, bool &use_g_scaling, Index m, Number g_scaling)
	overload this method to return scaling parameters. More...

virtual bool	get_variables_linearity (Index n, LinearityType *var_types)
	overload this method to return the variables linearity (TNLP::LINEAR or TNLP::NON_LINEAR). More...

virtual bool	get_constraints_linearity (Index m, LinearityType *const_types)
	overload this method to return the constraint linearity. More...

virtual bool	get_warm_start_iterate (IteratesVector &warm_start_iterate)
	overload this method to provide an Ipopt iterate (already in the form Ipopt requires it internally) for a warm start. More...

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

Private Member Functions
Methods to block default compiler methods.
The compiler automatically generates the following three methods. Since the default compiler implementation is generally not what you want (for all but the most simple classes), we usually put the declarations of these methods in the private section and never implement them. This prevents the compiler from implementing an incorrect "default" behavior without us knowing. (See Scott Meyers book, "Effective C++")
	LuksanVlcek2 ()

	LuksanVlcek2 (const LuksanVlcek2 &)

LuksanVlcek2 &	operator= (const LuksanVlcek2 &)

Private Attributes
Index	N_
	Parameter determining problem size. More...

Number	g_l_
	General lower bound for all constraints. More...

Number	g_u_
	General upper bound for all constraints. More...

Additional Inherited Members
Public Types inherited from Ipopt::TNLP
enum	LinearityType { LINEAR, NON_LINEAR }
	Type of the constraints. More...

enum	IndexStyleEnum { C_STYLE =0, FORTRAN_STYLE =1 }
	overload this method to return the number of variables and constraints, and the number of non-zeros in the jacobian and the hessian. More...

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

Detailed Description

Implementation of Example 5.2 from "Sparse and Parially Separable Test Problems for Unconstrained and Equality Constrained Optimization" by L.

Luksan and J. Vlcek.

Definition at line 19 of file LuksanVlcek2.hpp.

Constructor & Destructor Documentation

LuksanVlcek2::LuksanVlcek2	(	Number	g_l,
		Number	g_u
	)

Constructor.

Here, g_l and g_u are the bounds for the constraints. The original formulation is obtained by setting g_l and g_u to zero. Using g_l<g_u allows the obtain a problem formulation with inequality constraints.

virtual LuksanVlcek2::~LuksanVlcek2 ( )

inlinevirtual

Default destructor.

Definition at line 29 of file LuksanVlcek2.hpp.

LuksanVlcek2::LuksanVlcek2 ( )

private

LuksanVlcek2::LuksanVlcek2 ( const LuksanVlcek2 & )

private

Member Function Documentation

virtual bool LuksanVlcek2::InitializeProblem ( Index N )

virtual

Overloaded from RegisteredTNLP.

Implements RegisteredTNLP.

virtual bool LuksanVlcek2::get_nlp_info	(	Index &	n,
		Index &	m,
		Index &	nnz_jac_g,
		Index &	nnz_h_lag,
		IndexStyleEnum &	index_style
	)

virtual

Method to return some info about the nlp.

Implements Ipopt::TNLP.

virtual bool LuksanVlcek2::get_bounds_info	(	Index	n,
		Number *	x_l,
		Number *	x_u,
		Index	m,
		Number *	g_l,
		Number *	g_u
	)

virtual

Method to return the bounds for my problem.

Implements Ipopt::TNLP.

virtual bool LuksanVlcek2::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 to return the starting point for the algorithm.

Implements Ipopt::TNLP.

virtual bool LuksanVlcek2::eval_f	(	Index	n,
		const Number *	x,
		bool	new_x,
		Number &	obj_value
	)

virtual

Method to return the objective value.

Implements Ipopt::TNLP.

virtual bool LuksanVlcek2::eval_grad_f	(	Index	n,
		const Number *	x,
		bool	new_x,
		Number *	grad_f
	)

virtual

Method to return the gradient of the objective.

Implements Ipopt::TNLP.

virtual bool LuksanVlcek2::eval_g	(	Index	n,
		const Number *	x,
		bool	new_x,
		Index	m,
		Number *	g
	)

virtual

Method to return the constraint residuals.

Implements Ipopt::TNLP.

virtual bool LuksanVlcek2::eval_jac_g	(	Index	n,
		const Number *	x,
		bool	new_x,
		Index	m,
		Index	nele_jac,
		Index *	iRow,
		Index *	jCol,
		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 Ipopt::TNLP.

virtual bool LuksanVlcek2::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

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)

Reimplemented from Ipopt::TNLP.

virtual void LuksanVlcek2::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,
		const IpoptData *	ip_data,
		IpoptCalculatedQuantities *	ip_cq
	)

virtual

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

Implements Ipopt::TNLP.

LuksanVlcek2& LuksanVlcek2::operator= ( const LuksanVlcek2 & )

private

Member Data Documentation

Index LuksanVlcek2::N_

private

Parameter determining problem size.

Definition at line 109 of file LuksanVlcek2.hpp.

Number LuksanVlcek2::g_l_

private

General lower bound for all constraints.

Definition at line 112 of file LuksanVlcek2.hpp.

Number LuksanVlcek2::g_u_

private

General upper bound for all constraints.

Definition at line 114 of file LuksanVlcek2.hpp.

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

examples/ScalableProblems/LuksanVlcek2.hpp

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation