Simple scalable serial NLP subclass. More...

#include <NLPInterfacePack_ExampleNLPBanded.hpp>

Inheritance diagram for NLPInterfacePack::ExampleNLPBanded:

Private Member Functions
void	assert_is_initialized () const

void	inform_new_point (bool newx) const

	ExampleNLPBanded ()

	ExampleNLPBanded (const ExampleNLPBanded &)

ExampleNLPBanded &	operator= (const ExampleNLPBanded &)

Private Attributes
bool	is_initialized_

bool	nlp_selects_basis_

bool	basis_selection_was_given_

bool	has_var_bounds_

value_type	f_offset_

size_type	nD_

size_type	nI_

size_type	bw_

size_type	mU_

size_type	mI_

bool	ignore_constraints_

size_type	Gc_orig_nz_

size_type	Gh_orig_nz_

DVector	xinit_orig_

DVector	xl_orig_

DVector	xu_orig_

DVector	hl_orig_

DVector	hu_orig_

DVector	co_orig_

bool	c_orig_updated_

value_type	diag_scal_

value_type	diag_vary_

value_type	fu_

Constructors / initializers
	ExampleNLPBanded (size_type nD, size_type nI, size_type bw=1, size_type mU=0, size_type mI=0, value_type xo=0.1, value_type xDl=-NLP::infinite_bound(), value_type xDu=+NLP::infinite_bound(), value_type xIl=-NLP::infinite_bound(), value_type xIu=+NLP::infinite_bound(), value_type hl=-NLP::infinite_bound(), value_type hu=+NLP::infinite_bound(), bool nlp_selects_basis=false, value_type diag_scal=10.0, value_type diag_vary=1.0, bool sym_basis=false, value_type f_offset=0.0, value_type co=0.0, bool ignore_constraints=false)
	Constructor. More...

Overridden public members from NLP
void	initialize (bool test_setup)

bool	is_initialized () const

value_type	max_var_bounds_viol () const

Overridden from NLPVarReductPerm
bool	nlp_selects_basis () const

Overridden protected methods from NLPSerialPreprocess
bool	imp_nlp_has_changed () const

size_type	imp_n_orig () const

size_type	imp_m_orig () const

size_type	imp_mI_orig () const

const DVectorSlice	imp_xinit_orig () const

bool	imp_has_var_bounds () const

const DVectorSlice	imp_xl_orig () const

const DVectorSlice	imp_xu_orig () const

const DVectorSlice	imp_hl_orig () const

const DVectorSlice	imp_hu_orig () const

void	imp_calc_f_orig (const DVectorSlice &x_full, bool newx, const ZeroOrderInfoSerial &zero_order_info) const

void	imp_calc_c_orig (const DVectorSlice &x_full, bool newx, const ZeroOrderInfoSerial &zero_order_info) const

void	imp_calc_h_orig (const DVectorSlice &x_full, bool newx, const ZeroOrderInfoSerial &zero_order_info) const

void	imp_calc_Gf_orig (const DVectorSlice &x_full, bool newx, const ObjGradInfoSerial &obj_grad_info) const

bool	imp_get_next_basis (IVector var_perm_full, IVector equ_perm_full, size_type rank_full, size_type rank)

void	imp_report_orig_final_solution (const DVectorSlice &x_orig, const DVectorSlice lambda_orig, const DVectorSlice lambdaI_orig, const DVectorSlice *nu_orig, bool is_optimal)

Overridden protected methods from NLPSerialPreprocessExplJac
size_type	imp_Gc_nz_orig () const

size_type	imp_Gh_nz_orig () const

void	imp_calc_Gc_orig (const DVectorSlice &x_full, bool newx, const FirstOrderExplInfo &first_order_expl_info) const

void	imp_calc_Gh_orig (const DVectorSlice &x_full, bool newx, const FirstOrderExplInfo &first_order_expl_info) const

Additional Inherited Members
Public Types inherited from NLPInterfacePack::NLPSerialPreprocessExplJac
typedef Teuchos::RCP< const Teuchos::AbstractFactory < MatrixOp > >	factory_mat_ptr_t

Public Types inherited from NLPInterfacePack::NLP
typedef AbstractLinAlgPack::Vector	Vector

typedef AbstractLinAlgPack::VectorMutable	VectorMutable

typedef Teuchos::RCP< const VectorSpace >	vec_space_ptr_t

typedef Teuchos::RCP< const OptionsFromStreamPack::OptionsFromStream >	options_ptr_t

Public Types inherited from NLPInterfacePack::NLPVarReductPerm
typedef Teuchos::RCP< const Teuchos::AbstractFactory < Permutation > >	perm_fcty_ptr_t

Public Types inherited from NLPInterfacePack::NLPFirstOrder
typedef Teuchos::RCP< const Teuchos::AbstractFactory < MatrixOp > >	mat_fcty_ptr_t

typedef Teuchos::RCP< BasisSystem >	basis_sys_ptr_t

Public Member Functions inherited from NLPInterfacePack::NLPSerialPreprocessExplJac
	STANDARD_COMPOSITION_MEMBERS (BasisSystemFactory, basis_sys_fcty)
	Set the `BasisSystemFactory` object used to create the basis system. More...

	NLPSerialPreprocessExplJac (const basis_sys_fcty_ptr_t &basis_sys_fcty=Teuchos::rcp(new BasisSystemFactoryStd()), const factory_mat_ptr_t &factory_Gc_full=Teuchos::null)
	Calls `this->set_basis_sys_fcty()` and `this->set_mat_factories()` methods. More...

void	set_factory_Gc_full (const factory_mat_ptr_t &factory_Gc_full)
	Initialize with matrix factory for original matrices `Gc`. More...

void	set_options (const options_ptr_t &options)
	Passes these options on to `this->basis_sys_fcty().set_options(options)`. More...

const options_ptr_t &	get_options () const

const mat_fcty_ptr_t	factory_Gc () const

const basis_sys_ptr_t	basis_sys () const
	Calls `basis_sys_fcty()->create()` More...

void	set_Gc (MatrixOp *Gc)
	Validates the type of Gc is correct. More...

bool	get_next_basis (Permutation P_var, Range1D var_dep, Permutation P_equ, Range1D equ_decomp)

void	set_basis (const Permutation &P_var, const Range1D &var_dep, const Permutation P_equ, const Range1D equ_decomp)

Public Member Functions inherited from NLPInterfacePack::NLPSerialPreprocess
	NLPSerialPreprocess ()
	Default Constructor. More...

void	force_xinit_in_bounds (bool force_xinit_in_bounds)

bool	force_xinit_in_bounds () const

size_type	n () const

size_type	m () const

vec_space_ptr_t	space_x () const

vec_space_ptr_t	space_c () const

size_type	num_bounded_x () const

const Vector &	xl () const

const Vector &	xu () const

const Vector &	xinit () const

void	get_init_lagrange_mult (VectorMutable lambda, VectorMutable nu) const

void	scale_f (value_type scale_f)

value_type	scale_f () const

void	report_final_solution (const Vector &x, const Vector lambda, const Vector nu, bool is_optimal)
	Overridden to permute the variables back into an order that is natural to the subclass. More...

virtual size_type	ns () const

vec_space_ptr_t	space_c_breve () const

vec_space_ptr_t	space_h_breve () const

const Vector &	hl_breve () const

const Vector &	hu_breve () const

const Permutation &	P_var () const

const Permutation &	P_equ () const

const perm_fcty_ptr_t	factory_P_var () const

const perm_fcty_ptr_t	factory_P_equ () const

Range1D	var_dep () const

Range1D	var_indep () const

Range1D	equ_decomp () const

Range1D	equ_undecomp () const

void	get_basis (Permutation P_var, Range1D var_dep, Permutation P_equ, Range1D equ_decomp) const

Public Member Functions inherited from NLPInterfacePack::NLPObjGrad
	NLPObjGrad ()
	Initialize to no reference set to calculation quanities. More...

virtual bool	supports_Gf () const
	Determine if the objective gradient is supported or not. More...

virtual bool	supports_Gf_prod () const
	Determine if the objective gradient product is supported or not. More...

virtual void	set_Gf (VectorMutable *Gf)
	Set a pointer to a vector to be updated when `this->calc_Gf()` is called. More...

virtual VectorMutable *	get_Gf ()
	Return pointer passed to `this->set_Gf()`. More...

virtual VectorMutable &	Gf ()
	Returns non-`const` `*this->get_Gf()`. More...

virtual const Vector &	Gf () const
	Returns `const` `*this->get_Gf()`. More...

void	unset_quantities ()
	Call to unset all storage quantities (both in this class and all subclasses). More...

virtual void	calc_Gf (const Vector &x, bool newx=true) const
	Update the vector for `Gf` at the point `x` and put it in the stored reference. More...

virtual value_type	calc_Gf_prod (const Vector &x, const Vector &d, bool newx=true) const
	Calculate the inner product `Gf(x)'*d` at the point `x` and put it in the stored reference. More...

virtual size_type	num_Gf_evals () const
	Objective gradient evaluations count. More...

Public Member Functions inherited from NLPInterfacePack::NLP
const ZeroOrderInfo	zero_order_info () const
	Return pointer to set quantities. More...

const ZeroOrderInfo	zero_order_info_breve () const
	Return pointer to set `hat` quantities. More...

	NLP ()
	Initialize to no reference set to calculation quanities. More...

virtual	~NLP ()
	Destructor that cleans all the memory it owns. More...

virtual void	set_f (value_type *f)
	Set a pointer to an value to be updated when `this->calc_f()` is called. More...

virtual value_type *	get_f ()
	Return pointer passed to `this->set_f()`. More...

virtual value_type &	f ()
	Returns non-`const` `*this->get_f()`. More...

virtual const value_type &	f () const
	Returns `const` `*this->get_f()`. More...

virtual void	set_c (VectorMutable *c)
	Set a pointer to a vector to be updated when `this->calc_c()` is called. More...

virtual VectorMutable *	get_c ()
	Return pointer passed to `this->set_c()`. More...

virtual VectorMutable &	c ()
	Returns non-`const` `*this->get_c()`. More...

virtual const Vector &	c () const
	Returns `const` `*this->get_c()`. More...

virtual void	calc_f (const Vector &x, bool newx=true) const
	Update the value for the objective `f` at the point `x` and put it in the stored reference. More...

virtual void	calc_c (const Vector &x, bool newx=true) const
	Update the constraint residual vector for `c` at the point `x` and put it in the stored reference. More...

virtual size_type	num_f_evals () const
	Gives the number of object function f(x) evaluations called by the solver since initialize() was called. More...

virtual size_type	num_c_evals () const
	Gives the number of constraint function c(x) evaluations called by the solver since initialize() was called. Throws exception if `this->m() == 0`. More...

virtual void	set_c_breve (VectorMutable *c_breve)
	Set a pointer to a vector to be updated when `this->calc_c_breve()` is called. More...

virtual VectorMutable *	get_c_breve ()
	Return pointer passed to `this->set_c_breve()`. More...

virtual VectorMutable &	c_breve ()
	Returns non-`const` `*this->get_c_breve()`. More...

virtual const Vector &	c_breve () const
	Returns `const` `*this->get_c_breve()`. More...

virtual void	set_h_breve (VectorMutable *h_breve)
	Set a pointer to a vector to be updated when `this->calc_h_breve()` is called. More...

virtual VectorMutable *	get_h_breve ()
	Return pointer passed to `this->set_h_breve()`. More...

virtual VectorMutable &	h_breve ()
	Returns non-`const` `*this->get_h_breve()`. More...

virtual const Vector &	h_breve () const
	Returns `const` `*this->get_h_breve()`. More...

virtual void	calc_c_breve (const Vector &x, bool newx=true) const
	Update the constraint residual vector for `c_breve` at the point `x` and put it in the stored reference. More...

virtual void	calc_h_breve (const Vector &x, bool newx=true) const
	Update the constraint residual vector for `h_breve` at the point `x` and put it in the stored reference. More...

Public Member Functions inherited from Teuchos::VerboseObject< NLP >
TEUCHOSPARAMETERLIST_LIB_DLL_EXPORT RCP< const ParameterList >	getValidVerboseObjectSublist ()

TEUCHOSPARAMETERLIST_LIB_DLL_EXPORT void	setupVerboseObjectSublist (ParameterList *paramList)

TEUCHOSPARAMETERLIST_LIB_DLL_EXPORT void	readVerboseObjectSublist (ParameterList paramList, RCP< FancyOStream > oStream, EVerbosityLevel *verbLevel)

void	readVerboseObjectSublist (ParameterList paramList, VerboseObject< NLP > verboseObject)

	VerboseObject (const EVerbosityLevel verbLevel=VERB_DEFAULT, const RCP< FancyOStream > &oStream=Teuchos::null)

virtual void	initializeVerboseObject (const EVerbosityLevel verbLevel=VERB_DEFAULT, const RCP< FancyOStream > &oStream=Teuchos::null)

virtual const VerboseObject &	setVerbLevel (const EVerbosityLevel verbLevel) const

virtual const VerboseObject &	setOverridingVerbLevel (const EVerbosityLevel verbLevel) const

virtual EVerbosityLevel	getVerbLevel () const

Public Member Functions inherited from NLPInterfacePack::NLPVarReductPerm
Public Member Functions inherited from NLPInterfacePack::NLPFirstOrder
	NLPFirstOrder ()
	Initialize to no reference set to calculation quanities. More...

virtual MatrixOp *	get_Gc ()
	Return pointer passed to `this->set_Gc()`. More...

virtual MatrixOp &	Gc ()
	Returns non-`const` `*this->get_Gc()`. More...

virtual const MatrixOp &	Gc () const
	Returns `const` `*this->get_Gc()`. More...

void	unset_quantities ()
	Call to unset all storage quantities (both in this class and all subclasses). More...

virtual void	calc_Gc (const Vector &x, bool newx=true) const
	Update the matrix for `Gc` at the point `x` and put it in the stored reference. More...

virtual size_type	num_Gc_evals () const
	Gradient of constraints matrix `Gc` evaluations count. More...

Static Public Member Functions inherited from NLPInterfacePack::NLPSerialPreprocess
static value_type	fixed_var_mult ()
	Gives the value of a Lagrange multipler for a fixed variable bound .that has been preprocessed out of the problem. More...

Static Public Member Functions inherited from NLPInterfacePack::NLP
static value_type	infinite_bound ()
	Value for an infinite bound. More...

Static Public Member Functions inherited from Teuchos::VerboseObject< NLP >
static void	setDefaultVerbLevel (const EVerbosityLevel defaultVerbLevel)

static EVerbosityLevel	getDefaultVerbLevel ()

Protected Member Functions inherited from NLPInterfacePack::NLPSerialPreprocessExplJac
void	imp_calc_Gc (const Vector &x, bool newx, const FirstOrderInfo &first_order_info) const

void	assert_initialized () const
	Assert if we have been initizlized (throws UnInitialized) More...

const FirstOrderExplInfo	first_order_expl_info () const

Protected Member Functions inherited from NLPInterfacePack::NLPSerialPreprocess
void	imp_calc_f (const Vector &x, bool newx, const ZeroOrderInfo &zero_order_info) const

void	imp_calc_c (const Vector &x, bool newx, const ZeroOrderInfo &zero_order_info) const

void	imp_calc_c_breve (const Vector &x, bool newx, const ZeroOrderInfo &zero_order_info_breve) const

void	imp_calc_h_breve (const Vector &x, bool newx, const ZeroOrderInfo &zero_order_info_breve) const

void	imp_calc_Gf (const Vector &x, bool newx, const ObjGradInfo &obj_grad_info) const

void	set_not_initialized ()
	Used by subclasses to set the state of the NLP to not initialized. More...

void	assert_initialized () const
	Assert if we have been initizlized (throws UnInitialized) More...

void	set_x_full (const DVectorSlice &x, bool newx, DVectorSlice *x_full) const
	Set the full x vector if `newx == true` More...

DVectorSlice	x_full () const
	Give reference to current x_full. More...

const ZeroOrderInfoSerial	zero_order_orig_info () const

const ObjGradInfoSerial	obj_grad_orig_info () const

const IVector &	var_remove_fixed_to_full () const
	Permutation vector for partitioning free and fixed variables. More...

const IVector &	var_full_to_remove_fixed () const
	Inverse permutation vector of `var_remove_fixed_to_full()`. More...

const IVector &	var_perm () const
	Permutes from the compated variable vector (removing fixed variables) to the current basis selection. More...

const IVector &	equ_perm () const
	Permutes from the original constriant ordering to the current basis selection. More...

const IVector &	inv_equ_perm () const
	Inverse of `equ_perm()` More...

void	var_from_full (DVectorSlice::const_iterator vec_full, DVectorSlice::iterator vec) const

void	var_to_full (DVectorSlice::const_iterator vec, DVectorSlice::iterator vec_full) const

void	equ_from_full (const DVectorSlice &c_orig, const DVectorSlice &h_orig, const DVectorSlice &s_orig, DVectorSlice *c_full) const

Protected Member Functions inherited from NLPInterfacePack::NLPObjGrad
const ObjGradInfo	obj_grad_info () const
	Return objective gradient and zero order information. More...

Protected Member Functions inherited from NLPInterfacePack::NLP
template<class T >
void	assert_ref_set (T *p, std::string info) const
	Assert referece has been set for a quanity. More...

Protected Member Functions inherited from NLPInterfacePack::NLPFirstOrder
const FirstOrderInfo	first_order_info () const
	Return objective gradient and zero order information. More...

Detailed Description

Simple scalable serial NLP subclass.

This example NLP is a scalable problem where the basis of the jacobian of the equality constraints is a banded (band width = bw) symmetric positive definite matrix. Both the number of dependnet and independent variables can be varied.

To setup this NLP, the client specifies:

nD : the number of dependent variables
nI : the number of independent variables (nI <= nD)
bw : the band width (defined as the number of diagonals, including the center diagonal i==j that have non-zero element)
mU : the number of undecomposed dependent constraints
mI : the number of general constraints
diag_scal : Constant scaling factor for the diagonal elements
diag_vary : The scaling factor for the diagonal elements (to produce illconditioning) between the largets and the smallest.
sym_basis : True if the basis (selected by the NLP) is symmetric or not.

This NLP is defined as:

   min    f(x) = (1/2) * sum( x(i)^2, for i = 1..n )
   s.t.
          c(j) = ( ds(j)*x(j)                                 \
                   - sum( 3/(k)*x(j-k), k=1...klu(j) )        |
                   - sum( fu/(k)*x(j+k), k=1...kuu(j) )       | for j  = 1...nD
                  ) * (x(nD+q(j)) + 1)^2                      |
                  + co(j) == 0                                /

           c(nD+jU) = c(jU) + co(nD+jU)  == 0                 } for jU = 1...mU

           hl(jI) <= x(jI) - x(nD+q(jI)) <= hu(jI)            } for jI = 1...mI

           xl(i) <= x(i) <= xu(i)                             } for i  = 1...n

   where:

       n = nD + nI

       m = nD + mU

       mI = mI

       ds(j) = diag_scal * ( (diag_vary - 1)/(nD -1) * (j - 1) + 1 )

            / 3  : if sym_basis = true
       fu = |
            \ 6  : if sym_basis = false

                                / 2  : if floor((j-1)/nI) < nD % nI
       q(j) = floor((j-1)/nI) + |
                                \ 1  : if floor((j-1)/nI) >= nD % nI

                                                                 
                 / bw-1 : if j - bw >= 0                         \
       klu(j) =  |                                               |
                 \ j-1  : if j - bw <= 1                         |
                                                                 | for j=1...nD
                 / bw-1 : if j + bw-1 <= nD                      |
       kuu(j) =  |                                               |
                 \ nD-j : if j - bw <= 1                         /

In the above formuation, the sums are not computed if the upper bounds on k are zero. The term co(j) is an adjustable term that can be used to manipulate the solution. Note that if co(nD+jI) != 0 above, then the undecomposed dependent equality constraints are inconsistent with the decomposed equalities and therefore the NLP is infeasible. An infeasible NLP can also be created by manipulating xl(i), xu(i), hl(jI), hu(jI) and co(j).

For the above NLP, the Jacobian of the decomposed equalities has Jacobian elements:

                     /  -3/(j-i) * (x(nD+q(j)) + 1)^2         : i - klu(i) <= j < i
                     |
                     |  ds(j) * (x(nD+q(j)) + 1)^2            : i == j
  d(c(j))/d(x(i)) =  |
                     |  -3/(i-j) * (x(nD+q(j)) + 1)^2         : i < j <= i + kuu(i)
                     |
                     |  2 * (c(j) - co(j)) / (x(nD+q(j)) + 1) : i == nD + q
                     | 
                     \  0                                     : otherwise
                     
                     , for j = 1...nD, i = 1...nD+nI

The above definition shows that for the independent variables, the Jacobian elements are written in terms of the constraint c(j). This fact is exploited in the computational routines when this->multi_calc() == true.

For nD == 7, nI == 2, bw = 2 with floor(nD/nI) = 3 and nD % nI = 1, the Jacobian Gc' looks like:

  1 | x  x                 x    |
  2 | x  x  x              x    |
  3 |    x  x  x           x    |
  4 |       x  x  x        x    |
  5 |          x  x  x        x |
  6 |             x  x  x     x |
  7 |                x  x     x |
      -  -  -  -  -  -  -  -  -
      1  2  3  4  5  6  7  8  9

ToDo: Finish documentation!

Definition at line 159 of file NLPInterfacePack_ExampleNLPBanded.hpp.

Constructor & Destructor Documentation

NLPInterfacePack::ExampleNLPBanded::ExampleNLPBanded	(	size_type	nD,
		size_type	nI,
		size_type	bw = `1`,
		size_type	mU = `0`,
		size_type	mI = `0`,
		value_type	xo = `0.1`,
		value_type	xDl = `-NLP::infinite_bound()`,
		value_type	xDu = `+NLP::infinite_bound()`,
		value_type	xIl = `-NLP::infinite_bound()`,
		value_type	xIu = `+NLP::infinite_bound()`,
		value_type	hl = `-NLP::infinite_bound()`,
		value_type	hu = `+NLP::infinite_bound()`,
		bool	nlp_selects_basis = `false`,
		value_type	diag_scal = `10.0`,
		value_type	diag_vary = `1.0`,
		bool	sym_basis = `false`,
		value_type	f_offset = `0.0`,
		value_type	co = `0.0`,
		bool	ignore_constraints = `false`
	)

Constructor.

ToDo: Finish documentation!

Definition at line 53 of file NLPInterfacePack_ExampleNLPBanded.cpp.

NLPInterfacePack::ExampleNLPBanded::ExampleNLPBanded ( )

private

NLPInterfacePack::ExampleNLPBanded::ExampleNLPBanded ( const ExampleNLPBanded & )

private

Member Function Documentation

void NLPInterfacePack::ExampleNLPBanded::initialize ( bool test_setup )

virtual

Reimplemented from NLPInterfacePack::NLPSerialPreprocessExplJac.

Definition at line 140 of file NLPInterfacePack_ExampleNLPBanded.cpp.

bool NLPInterfacePack::ExampleNLPBanded::is_initialized ( ) const

virtual

Reimplemented from NLPInterfacePack::NLPSerialPreprocessExplJac.

Definition at line 151 of file NLPInterfacePack_ExampleNLPBanded.cpp.

value_type NLPInterfacePack::ExampleNLPBanded::max_var_bounds_viol ( ) const

virtual

Implements NLPInterfacePack::NLP.

Definition at line 156 of file NLPInterfacePack_ExampleNLPBanded.cpp.

bool NLPInterfacePack::ExampleNLPBanded::nlp_selects_basis ( ) const

virtual

Reimplemented from NLPInterfacePack::NLPSerialPreprocess.

Definition at line 376 of file NLPInterfacePack_ExampleNLPBanded.cpp.

bool NLPInterfacePack::ExampleNLPBanded::imp_nlp_has_changed ( ) const

protectedvirtual

Reimplemented from NLPInterfacePack::NLPSerialPreprocess.

Definition at line 163 of file NLPInterfacePack_ExampleNLPBanded.cpp.

size_type NLPInterfacePack::ExampleNLPBanded::imp_n_orig ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 168 of file NLPInterfacePack_ExampleNLPBanded.cpp.

size_type NLPInterfacePack::ExampleNLPBanded::imp_m_orig ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 173 of file NLPInterfacePack_ExampleNLPBanded.cpp.

size_type NLPInterfacePack::ExampleNLPBanded::imp_mI_orig ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 179 of file NLPInterfacePack_ExampleNLPBanded.cpp.

const DVectorSlice NLPInterfacePack::ExampleNLPBanded::imp_xinit_orig ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 185 of file NLPInterfacePack_ExampleNLPBanded.cpp.

bool NLPInterfacePack::ExampleNLPBanded::imp_has_var_bounds ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 190 of file NLPInterfacePack_ExampleNLPBanded.cpp.

const DVectorSlice NLPInterfacePack::ExampleNLPBanded::imp_xl_orig ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 195 of file NLPInterfacePack_ExampleNLPBanded.cpp.

const DVectorSlice NLPInterfacePack::ExampleNLPBanded::imp_xu_orig ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 200 of file NLPInterfacePack_ExampleNLPBanded.cpp.

const DVectorSlice NLPInterfacePack::ExampleNLPBanded::imp_hl_orig ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 205 of file NLPInterfacePack_ExampleNLPBanded.cpp.

const DVectorSlice NLPInterfacePack::ExampleNLPBanded::imp_hu_orig ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 210 of file NLPInterfacePack_ExampleNLPBanded.cpp.

void NLPInterfacePack::ExampleNLPBanded::imp_calc_f_orig	(	const DVectorSlice &	x_full,
		bool	newx,
		const ZeroOrderInfoSerial &	zero_order_info
	)		const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 215 of file NLPInterfacePack_ExampleNLPBanded.cpp.

void NLPInterfacePack::ExampleNLPBanded::imp_calc_c_orig	(	const DVectorSlice &	x_full,
		bool	newx,
		const ZeroOrderInfoSerial &	zero_order_info
	)		const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 226 of file NLPInterfacePack_ExampleNLPBanded.cpp.

void NLPInterfacePack::ExampleNLPBanded::imp_calc_h_orig	(	const DVectorSlice &	x_full,
		bool	newx,
		const ZeroOrderInfoSerial &	zero_order_info
	)		const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 271 of file NLPInterfacePack_ExampleNLPBanded.cpp.

void NLPInterfacePack::ExampleNLPBanded::imp_calc_Gf_orig	(	const DVectorSlice &	x_full,
		bool	newx,
		const ObjGradInfoSerial &	obj_grad_info
	)		const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocess.

Definition at line 295 of file NLPInterfacePack_ExampleNLPBanded.cpp.

bool NLPInterfacePack::ExampleNLPBanded::imp_get_next_basis	(	IVector *	var_perm_full,
		IVector *	equ_perm_full,
		size_type *	rank_full,
		size_type *	rank
	)

protectedvirtual

Reimplemented from NLPInterfacePack::NLPSerialPreprocess.

Definition at line 306 of file NLPInterfacePack_ExampleNLPBanded.cpp.

void NLPInterfacePack::ExampleNLPBanded::imp_report_orig_final_solution	(	const DVectorSlice &	x_orig,
		const DVectorSlice *	lambda_orig,
		const DVectorSlice *	lambdaI_orig,
		const DVectorSlice *	nu_orig,
		bool	is_optimal
	)

protectedvirtual

Reimplemented from NLPInterfacePack::NLPSerialPreprocess.

Definition at line 365 of file NLPInterfacePack_ExampleNLPBanded.cpp.

size_type NLPInterfacePack::ExampleNLPBanded::imp_Gc_nz_orig ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocessExplJac.

Definition at line 383 of file NLPInterfacePack_ExampleNLPBanded.cpp.

size_type NLPInterfacePack::ExampleNLPBanded::imp_Gh_nz_orig ( ) const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocessExplJac.

Definition at line 388 of file NLPInterfacePack_ExampleNLPBanded.cpp.

void NLPInterfacePack::ExampleNLPBanded::imp_calc_Gc_orig	(	const DVectorSlice &	x_full,
		bool	newx,
		const FirstOrderExplInfo &	first_order_expl_info
	)		const

protectedvirtual

Implements NLPInterfacePack::NLPSerialPreprocessExplJac.

Definition at line 393 of file NLPInterfacePack_ExampleNLPBanded.cpp.

void NLPInterfacePack::ExampleNLPBanded::imp_calc_Gh_orig	(	const DVectorSlice &	x_full,
		bool	newx,
		const FirstOrderExplInfo &	first_order_expl_info
	)		const