IABendNlp Class Reference

#include <IABendNlp.hpp>

Inheritance diagram for IABendNlp:

List of all members.

Classes
struct	SparseMatrixEntry
Public Member Functions
	IABendNlp (const IAData *data_ptr, const IPData *ip_data_ptr, const IPBendData *ip_bend_ptr, IASolution *solution_ptr, IAWeights *weight_ptr, const bool set_silent=true)
virtual	~IABendNlp ()
void	even_constraints_active (bool set_active)
double	f_x_value (double I_i, double x_i)
Overloaded from TNLP
virtual bool	get_nlp_info (Index &n, Index &m, Index &nnz_jac_g, Index &nnz_h_lag, IndexStyleEnum &index_style)
virtual bool	get_bounds_info (Index n, Number *x_l, Number *x_u, Index m, Number *g_l, Number *g_u)
virtual bool	get_starting_point (Index n, bool init_x, Number *x_init, bool init_z, Number *z_L, Number *z_U, Index m, bool init_lambda, Number *lambda)
virtual bool	eval_f (Index n, const Number *x, bool new_x, Number &obj_value)
virtual bool	eval_grad_f (Index n, const Number *x, bool new_x, Number *grad_f)
virtual bool	eval_g (Index n, const Number *x, bool new_x, Index m, Number *g)
virtual bool	eval_jac_g (Index n, const Number *x, bool new_x, Index m, Index nele_jac, Index *iRow, Index *jCol, Number *values)
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)
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)
Private Types
typedef std::map< int, SparseMatrixEntry >	SparseMatrixMap
Private Member Functions
void	add_hessian_entry (int i, int j, int &k)
void	build_hessian ()
int	get_hessian_k (int i, int j)
void	print_hessian ()
const double	nearest_int (const double x)
const double	nearest_even (const double s)
const double	delta_x (const double x)
const double	delta_s (const double s)
double	eval_g_int_x (const double x)
double	eval_g_int_s (const double s)
double	eval_jac_int_x (const double x)
double	eval_jac_int_s (const double s)
double	eval_hess_int_x (const double x)
virtual double	eval_hess_int_s (const double s)
	IABendNlp ()
	IABendNlp (const IABendNlp &)
IABendNlp &	operator= (const IABendNlp &)
Private Attributes
const IAData *	data
const IPData *	ipData
const IPBendData *	ipBendData
IASolution *	solution
IANlp	baseNlp
const int	base_n
const int	base_m
const int	problem_n
int	problem_m
int	wave_even_constraint_start
IAWeights *	weights
const bool	silent
const bool	debugging
const bool	verbose
bool	evenConstraintsActive
SparseMatrixMap	hessian_map
std::vector< SparseMatrixEntry >	hessian_vector

---

Detailed Description

Definition at line 26 of file IABendNlp.hpp.

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Member Typedef Documentation

typedef std::map<int, SparseMatrixEntry> SparseMatrixMap [private]

Definition at line 156 of file IABendNlp.hpp.

---

Constructor & Destructor Documentation

IABendNlp	(	const IAData *	data_ptr,
		const IPData *	ip_data_ptr,
		const IPBendData *	ip_bend_ptr,
		IASolution *	solution_ptr,
		IAWeights *	weight_ptr,
		const bool	set_silent = true
	)

default constructor

Definition at line 59 of file IABendNlp.cpp.

~IABendNlp

(

)

[virtual]

default destructor

Definition at line 86 of file IABendNlp.cpp.

IABendNlp

(

)

[private]

IABendNlp

(

const IABendNlp &

)

[private]

---

Member Function Documentation

void add_hessian_entry	(	int	i,
		int	j,
		int &	k
	)		[private]

Definition at line 629 of file IABendNlp.cpp.

void build_hessian

(

)

[private]

Definition at line 645 of file IABendNlp.cpp.

const double delta_s

(

const double

s

)

[inline, private]

Definition at line 181 of file IABendNlp.hpp.

const double delta_x

(

const double

x

)

[inline, private]

Definition at line 177 of file IABendNlp.hpp.

bool eval_f	(	Index	n,
		const Number *	x,
		bool	new_x,
		Number &	obj_value
	)		[virtual]

Method to return the objective value

Definition at line 340 of file IABendNlp.cpp.

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

Method to return the constraint residuals

Definition at line 384 of file IABendNlp.cpp.

double eval_g_int_s

(

const double

s

)

[inline, private]

Definition at line 191 of file IABendNlp.hpp.

double eval_g_int_x

(

const double

x

)

[inline, private]

Definition at line 186 of file IABendNlp.hpp.

bool eval_grad_f	(	Index	n,
		const Number *	x,
		bool	new_x,
		Number *	grad_f
	)		[virtual]

Method to return the gradient of the objective

Definition at line 359 of file IABendNlp.cpp.

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
	)		[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)

Definition at line 744 of file IABendNlp.cpp.

virtual double eval_hess_int_s

(

const double

s

)

[inline, private, virtual]

Definition at line 210 of file IABendNlp.hpp.

double eval_hess_int_x

(

const double

x

)

[inline, private]

Definition at line 206 of file IABendNlp.hpp.

bool 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)

Definition at line 441 of file IABendNlp.cpp.

double eval_jac_int_s

(

const double

s

)

[inline, private]

Definition at line 201 of file IABendNlp.hpp.

double eval_jac_int_x

(

const double

x

)

[inline, private]

Definition at line 196 of file IABendNlp.hpp.

void even_constraints_active

(

bool

set_active

)

[inline]

Definition at line 96 of file IABendNlp.hpp.

double f_x_value	(	double	I_i,
		double	x_i
	)

Definition at line 42 of file IABendNlp.cpp.

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
	)		[virtual]

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

Definition at line 837 of file IABendNlp.cpp.

bool 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

Definition at line 159 of file IABendNlp.cpp.

int get_hessian_k	(	int	i,
		int	j
	)		[private]

Definition at line 694 of file IABendNlp.cpp.

bool 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

Definition at line 89 of file IABendNlp.cpp.

bool get_starting_point	(	Index	n,
		bool	init_x,
		Number *	x_init,
		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

Definition at line 253 of file IABendNlp.cpp.

const double nearest_even

(

const double

s

)

[inline, private]

Definition at line 173 of file IABendNlp.hpp.

const double nearest_int

(

const double

x

)

[inline, private]

Definition at line 167 of file IABendNlp.hpp.

IABendNlp& operator=

(

const IABendNlp &

)

[private]

void print_hessian

(

)

[private]

Definition at line 703 of file IABendNlp.cpp.

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Member Data Documentation

const int base_m [private]

Definition at line 123 of file IABendNlp.hpp.

const int base_n [private]

Definition at line 123 of file IABendNlp.hpp.

IANlp baseNlp [private]

Definition at line 121 of file IABendNlp.hpp.

const IAData* data [private]

Definition at line 112 of file IABendNlp.hpp.

const bool debugging [private]

Definition at line 133 of file IABendNlp.hpp.

bool evenConstraintsActive [private]

Definition at line 136 of file IABendNlp.hpp.

SparseMatrixMap hessian_map [private]

Definition at line 158 of file IABendNlp.hpp.

std::vector< SparseMatrixEntry > hessian_vector [private]

Definition at line 159 of file IABendNlp.hpp.

const IPBendData* ipBendData [private]

Definition at line 114 of file IABendNlp.hpp.

const IPData* ipData [private]

Definition at line 113 of file IABendNlp.hpp.

int problem_m [private]

Definition at line 125 of file IABendNlp.hpp.

const int problem_n [private]

Definition at line 124 of file IABendNlp.hpp.

const bool silent [private]

Definition at line 132 of file IABendNlp.hpp.

IASolution* solution [private]

Definition at line 117 of file IABendNlp.hpp.

const bool verbose [private]

Definition at line 134 of file IABendNlp.hpp.

int wave_even_constraint_start [private]

Definition at line 126 of file IABendNlp.hpp.

IAWeights* weights [private]

Definition at line 129 of file IABendNlp.hpp.

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

• IABendNlp.hpp
• IABendNlp.cpp