class for things related to the gradient structures, including dimension of arrays, size of buffers, etc. More...

#include <gradient_structure.h>

Classes
class	arrmemblerr
Public Member Functions
	gradient_structure (long int size=100000L)
	Constructor.
	~gradient_structure (void)
	Destructor.
Static Public Member Functions
static double *	get_ARRAY_MEMBLOCK_BASE ()
static DF_FILE *	get_fp (void)
static long int	get_USE_FOR_HESSIAN ()
static void	jacobcalc (int nvar, const dmatrix &jac)
	Description not yet available.
static void	jacobcalc (int nvar, const ofstream &jac)
	Description not yet available.
static void	jacobcalc (int nvar, const uostream &jac)
	Description not yet available.
static size_t	NUM_GRADSTACK_BYTES_WRITTEN (void)
	Description not yet available.
static void	restore_arrays (void)
static void	restore_variables (void)
	Restore variables from buffer.
static void	save_arrays (void)
static void	save_dependent_variable_position (const prevariable &v1)
	Description not yet available.
static void	save_variables (void)
	Save variables to a buffer.
static void	set_ARRAY_MEMBLOCK_SIZE (unsigned long i)
	Set the the maximum amount of memory (in bytes) available for the autodif variable type container class objects.
static void	set_CMPDIF_BUFFER_SIZE (const size_t i)
	Set the size in bytes of the buffer used to contain the information generated by the "precompiled" derivative code.
static void	set_GRADSTACK_BUFFER_BYTES (const size_t i)
	Set (in bytes) the number of entries contained in the buffer used for calculating derivatives.
static void	set_GRADSTACK_BUFFER_SIZE (const size_t i)
	Set the number of entries contained in the buffer that, in turn, contains the information necessary for calculating derivatives.
static void	set_MAX_DLINKS (int i)
	Set the maximum number of dvariable objects that can be in scope at one time.
static void	set_MAX_NVAR_OFFSET (unsigned int i)
	Set the the maximum number of independent variables that can be used.
static void	set_NO_SAVE_VARIABLES_VALUES ()
	Description not yet available.
static void	set_NUM_DEPENDENT_VARIABLES (int i)
	Description not yet available.
static void	set_NUM_RETURN_ARRAYS (int i)
	Set the maximum allowable depth of nesting of functions that return autodif variable types.
static void	set_RETURN_ARRAYS_SIZE (int i)
	Set the return arrays size controlling the amount of complexity that one line of arithmetic can have.
static void	set_USE_FOR_HESSIAN (const long int i)
static void	set_YES_SAVE_VARIABLES_VALUES ()
	Description not yet available.
static size_t	totalbytes (void)
	Description not yet available.
Static Public Attributes
static arr_list *	ARR_FREE_LIST1 = NULL
static arr_list *	ARR_LIST1 = NULL
static dlist *	GRAD_LIST
static grad_stack *	GRAD_STACK1
static double *	hessian_ptr = NULL
static int	Hybrid_bounded_flag = 0
static unsigned long int	max_last_offset = 0
static dvariable *	MAX_RETURN = NULL
static dvariable *	MIN_RETURN = NULL
static int	RETURN_ARRAYS_SIZE = 70
static dvariable *	RETURN_PTR = NULL
Static Private Member Functions
static void	check_set_error (const char *variable_name)
	Produce error if gradient structure hasn't been set.
Private Attributes
int	x
Static Private Attributes
static humungous_pointer	ARRAY_MEMBLOCK_BASE
static humungous_pointer	ARRAY_MEMBLOCK_SAVE
static unsigned long	ARRAY_MEMBLOCK_SIZE = 0L
static size_t	CMPDIF_BUFFER_SIZE = 140000000L
static char	cmpdif_file_name [61]
static dependent_variables_information *	DEPVARS_INFO = NULL
static DF_FILE *	fp = NULL
static size_t	GRADSTACK_BUFFER_SIZE = 4000000L
static indvar_offset_list *	INDVAR_LIST = NULL
static int	instances = 0
static unsigned int	MAX_DLINKS = 5000
static unsigned int	MAX_NVAR_OFFSET = 5000
static int	NUM_DEPENDENT_VARIABLES = 2000
static int	NUM_RETURN_ARRAYS = 25
static long int	NVAR = 0
static size_t	PREVIOUS_TOTAL_BYTES = 0
static dvariable **	RETURN_ARRAYS = NULL
static int	RETURN_ARRAYS_PTR
static dvariable **	RETURN_PTR_CONTAINER = NULL
static int	save_var_file_flag = 0
static int	save_var_flag = 0
static size_t	TOTAL_BYTES = 0
static long int	USE_FOR_HESSIAN = 0
Friends
void	allocate_dvariable_space (void)
	Description not yet available.
void	arr_free (double_and_int *)
	Description not yet available.
double_and_int *	arr_new (unsigned int sz)
	Description not yet available.
void	cleanup_temporary_files ()
	Close gradient and variable files.
void	default_evaluation (void)
	Description not yet available.
class	DF_FILE
class	dfsdmat
class	dlist
class	function_minimizer
void	funnel_derivatives (void)
	Description not yet available.
void	funnel_gradcalc (void)
	Description not yet available.
class	grad_stack
void	gradcalc (int nvar, const dvector &g)
	Compute the gradient from the data stored in the global gradient_structure.
void	gradfree (dlink *v)
	Description not yet available.
double_and_int *	gradnew ()
	Creates an entry in the gradient structure linked list.
void	make_indvar_list (const dvar_vector &t)
	Description not yet available.
dmatrix	restore_dvar_matrix_derivatives (void)
dmatrix	restore_dvar_matrix_value (void)
dvector	restore_dvar_vector_derivatives (void)
dvar_vector_position	restore_dvar_vector_position (void)
	Description not yet available.
dvector	restore_dvar_vector_value (const dvar_vector_position &tmp)
	Restores the size, address, and value information for a dvar_vector.
void	RETURN_ARRAYS_DECREMENT (void)
	Decrements gradient_structure::RETURN_ARRAYS_PTR.
void	RETURN_ARRAYS_INCREMENT (void)
	Increments gradient_structure::RETURN_ARRAYS_PTR.
void	slave_gradcalc (void)
void	wide_funnel_gradcalc (void)

Detailed Description

class for things related to the gradient structures, including dimension of arrays, size of buffers, etc.

Definition at line 92 of file gradient_structure.h.

Constructor & Destructor Documentation

gradient_structure::gradient_structure ( long int size = 100000L )

Constructor.

Definition at line 288 of file gradstrc.cpp.

gradient_structure::~gradient_structure ( void )

Destructor.

Definition at line 585 of file gradstrc.cpp.

Member Function Documentation

void gradient_structure::check_set_error ( const char * variable_name ) [static, private]

Produce error if gradient structure hasn't been set.

Parameters:

variable_name string with variable name

Definition at line 21 of file gs_set.cpp.

Referenced by set_ARRAY_MEMBLOCK_SIZE(), set_MAX_DLINKS(), set_MAX_NVAR_OFFSET(), and set_NUM_RETURN_ARRAYS().

static double* gradient_structure::get_ARRAY_MEMBLOCK_BASE ( ) [inline, static]

Definition at line 113 of file gradient_structure.h.

Referenced by df_check_derivative_values(), df_check_derivative_values_indexed(), and df_check_derivative_values_indexed_break().

static DF_FILE* gradient_structure::get_fp ( void ) [inline, static]

Definition at line 205 of file gradient_structure.h.

static long int gradient_structure::get_USE_FOR_HESSIAN ( ) [inline, static]

Definition at line 149 of file gradient_structure.h.

Referenced by dfsdmat::allocate().

void gradient_structure::jacobcalc	(	int	nvar,
		const dmatrix &	_jac
	)		`[static]`

Description not yet available.

Parameters:

Definition at line 82 of file jacobclc.cpp.

void gradient_structure::jacobcalc	(	int	nvar,
		const ofstream &	_ofs
	)		`[static]`

Description not yet available.

Parameters:

Definition at line 69 of file jacob2.cpp.

void gradient_structure::jacobcalc	(	int	nvar,
		const uostream &	ofs
	)		`[static]`

Description not yet available.

Parameters:

Definition at line 69 of file jacob3.cpp.

size_t gradient_structure::NUM_GRADSTACK_BYTES_WRITTEN ( void ) [static]

Description not yet available.

Parameters:

Definition at line 143 of file gradstrc.cpp.

void gradient_structure::restore_arrays ( void ) [static]

Definition at line 314 of file sgradclc.cpp.

Referenced by funnel_gradcalc(), gradcalc(), and jacobcalc().

void gradient_structure::restore_variables ( void ) [static]

Restore variables from buffer.

Definition at line 385 of file sgradclc.cpp.

Referenced by funnel_gradcalc(), gradcalc(), and jacobcalc().

void gradient_structure::save_arrays ( void ) [static]

Definition at line 239 of file sgradclc.cpp.

Referenced by funnel_gradcalc(), and gradcalc().

void gradient_structure::save_dependent_variable_position ( const prevariable & v1 ) [static]

Description not yet available.

Parameters:

Definition at line 111 of file depvars.cpp.

Referenced by operator<<().

void gradient_structure::save_variables ( void ) [static]

Save variables to a buffer.

Definition at line 378 of file sgradclc.cpp.

Referenced by funnel_gradcalc(), and gradcalc().

void gradient_structure::set_ARRAY_MEMBLOCK_SIZE ( unsigned long i ) [static]

Set the the maximum amount of memory (in bytes) available for the autodif variable type container class objects.

Parameters:

i	value in bytes

Definition at line 57 of file gs_set.cpp.

void gradient_structure::set_CMPDIF_BUFFER_SIZE ( const size_t i ) [static]

Set the size in bytes of the buffer used to contain the information generated by the "precompiled" derivative code.

Parameters:

i	value in bytes

Definition at line 75 of file gs_set.cpp.

Referenced by function_minimizer::function_minimizer().

void gradient_structure::set_GRADSTACK_BUFFER_BYTES ( const size_t i ) [static]

Set (in bytes) the number of entries contained in the buffer used for calculating derivatives.

This is an alternative to set_GRADSTACK_BUFFER_SIZE which is in units of "gs_size" rather than bytes.

Author:: Ian Taylor

Parameters:

i	memory allocation in bytes

Definition at line 174 of file gs_set.cpp.

void gradient_structure::set_GRADSTACK_BUFFER_SIZE ( const size_t i ) [static]

Set the number of entries contained in the buffer that, in turn, contains the information necessary for calculating derivatives.

For historical reasons, the actual amount of memory (in bytes) reserved for the buffer is equal to the value of GRADSTACK_BUFFER_SIZE multiplied by the size (in bytes) of an autodif structure, grad_stack_entry. See also set_GRADSTACK_BUFFER_BYTES which performs the same function but with input in units of bytes

Parameters:

i	memory allocation in units of "gs_size" (which is about 36 bytes)

Definition at line 119 of file gs_set.cpp.

Referenced by function_minimizer::function_minimizer().

void gradient_structure::set_MAX_DLINKS ( int i ) [static]

Set the maximum number of dvariable objects that can be in scope at one time.

Parameters:

i	the value to set

Definition at line 228 of file gs_set.cpp.

void gradient_structure::set_MAX_NVAR_OFFSET ( unsigned int i ) [static]

Set the the maximum number of independent variables that can be used.

Parameters:

i	the value to set

Definition at line 218 of file gs_set.cpp.

void gradient_structure::set_NO_SAVE_VARIABLES_VALUES ( void ) [static]

Description not yet available.

Parameters:

Definition at line 733 of file gradstrc.cpp.

void gradient_structure::set_NUM_DEPENDENT_VARIABLES ( int i ) [static]

Description not yet available.

Parameters:

Definition at line 742 of file gradstrc.cpp.

void gradient_structure::set_NUM_RETURN_ARRAYS ( int i ) [static]

Set the maximum allowable depth of nesting of functions that return autodif variable types.

Parameters:

i	number of return arrays

Definition at line 46 of file gs_set.cpp.

void gradient_structure::set_RETURN_ARRAYS_SIZE ( int i ) [static]

Set the return arrays size controlling the amount of complexity that one line of arithmetic can have.

Parameters:

i	size of return arrays

Definition at line 36 of file gs_set.cpp.

static void gradient_structure::set_USE_FOR_HESSIAN ( const long int i ) [inline, static]

Definition at line 153 of file gradient_structure.h.

void gradient_structure::set_YES_SAVE_VARIABLES_VALUES ( void ) [static]

Description not yet available.

Parameters:

Definition at line 724 of file gradstrc.cpp.

size_t gradient_structure::totalbytes ( void ) [static]

Description not yet available.

Parameters:

Definition at line 164 of file gradstrc.cpp.

Friends And Related Function Documentation

void allocate_dvariable_space ( void ) [friend]

Description not yet available.

Parameters:

Definition at line 223 of file gradstrc.cpp.

void arr_free ( double_and_int * varr ) [friend]

Description not yet available.

Parameters:

Definition at line 241 of file newdar.cpp.

double_and_int* arr_new ( unsigned int sz ) [friend]

Description not yet available.

Parameters:

Definition at line 82 of file newdar.cpp.

void cleanup_temporary_files ( ) [friend]

Close gradient and variable files.

Free gradient structure memory.

Definition at line 175 of file gradstrc.cpp.

Referenced by gradient_structure().

void default_evaluation ( void ) [friend]

Description not yet available.

Parameters:

Definition at line 66 of file def_eval.cpp.

friend class DF_FILE [friend]

Definition at line 204 of file gradient_structure.h.

Referenced by gradient_structure().

friend class dfsdmat [friend]

Definition at line 157 of file gradient_structure.h.

friend class dlist [friend]

Definition at line 235 of file gradient_structure.h.

Referenced by gradient_structure().

friend class function_minimizer [friend]

Definition at line 239 of file gradient_structure.h.

void funnel_derivatives ( void ) [friend]

Description not yet available.

Parameters:

void funnel_gradcalc ( void ) [friend]

Description not yet available.

Parameters:

Definition at line 83 of file xgradclc.cpp.

friend class grad_stack [friend]

Definition at line 236 of file gradient_structure.h.

Referenced by gradient_structure().

void gradcalc	(	int	nvar,
		const dvector &	g
	)		`[friend]`

Compute the gradient from the data stored in the global gradient_structure.

Parameters:

nvar	Number of variables in the gradient.
_g	Vector from 1 to nvar. On return contains the gradient.

Definition at line 86 of file sgradclc.cpp.

void gradfree ( dlink * v ) [friend]

Description not yet available.

Parameters:

Definition at line 57 of file fvar2.cpp.

double_and_int* gradnew ( ) [friend]

Creates an entry in the gradient structure linked list.

Returns:: Pointer instance of class double_and_int

Definition at line 33 of file fvar2.cpp.

void make_indvar_list ( const dvar_vector & t ) [friend]

Description not yet available.

Parameters:

Definition at line 152 of file fvar_arr.cpp.

dmatrix restore_dvar_matrix_derivatives ( void ) [friend]

dmatrix restore_dvar_matrix_value ( void ) [friend]

dvector restore_dvar_vector_derivatives ( void ) [friend]

dvar_vector_position restore_dvar_vector_position ( void ) [friend]

Description not yet available.

Parameters:

Definition at line 56 of file cmpdif4.cpp.

dvector restore_dvar_vector_value ( const dvar_vector_position & tmp ) [friend]

Restores the size, address, and value information for a dvar_vector.

Back up the stream and read the number of bytes written in the write function'' corresponding to thisread function''

Parameters:

Definition at line 178 of file cmpdif4.cpp.

void RETURN_ARRAYS_DECREMENT ( void ) [friend]

Decrements gradient_structure::RETURN_ARRAYS_PTR.

Must be called prior to exit from any functiton that returns a variable object. Calls must balance calls to void RETURN_ARRAYS_INCREMENT(void).

Definition at line 558 of file gradstrc.cpp.

void RETURN_ARRAYS_INCREMENT ( void ) [friend]

Increments gradient_structure::RETURN_ARRAYS_PTR.

Must be called on entry to any function that returns a variable object. Calls must balance calls to void RETURN_ARRAYS_DECREMENT(void).

Definition at line 526 of file gradstrc.cpp.

void slave_gradcalc ( void ) [friend]

void wide_funnel_gradcalc ( void ) [friend]

Member Data Documentation

arr_list * gradient_structure::ARR_FREE_LIST1 = NULL [static]

Definition at line 195 of file gradient_structure.h.

arr_list * gradient_structure::ARR_LIST1 = NULL [static]

Definition at line 194 of file gradient_structure.h.

Referenced by arr_free(), arr_free_add(), arr_free_remove(), arr_new(), arr_remove(), df_check_derivative_values(), df_check_derivative_values_indexed(), df_check_derivative_values_indexed_break(), funnel_gradcalc(), gradcalc(), gradient_structure(), jacobcalc(), restore_arrays(), save_arrays(), and ~gradient_structure().

humungous_pointer gradient_structure::ARRAY_MEMBLOCK_BASE [static, private]

Definition at line 110 of file gradient_structure.h.

Referenced by dfsdmat::allocate(), arr_new(), funnel_derivatives(), funnel_gradcalc(), get_ARRAY_MEMBLOCK_BASE(), gradcalc(), gradient_structure(), jacobcalc(), and ~gradient_structure().

humungous_pointer gradient_structure::ARRAY_MEMBLOCK_SAVE [static, private]

Definition at line 111 of file gradient_structure.h.

unsigned long gradient_structure::ARRAY_MEMBLOCK_SIZE = 0L [static, private]

Definition at line 109 of file gradient_structure.h.

Referenced by arr_new(), funnel_gradcalc(), and gradient_structure().

size_t gradient_structure::CMPDIF_BUFFER_SIZE = 140000000L [static, private]

Definition at line 122 of file gradient_structure.h.

Referenced by gradient_structure().

char gradient_structure::cmpdif_file_name [static, private]

Definition at line 94 of file gradient_structure.h.

Referenced by gradient_structure().

dependent_variables_information * gradient_structure::DEPVARS_INFO = NULL [static, private]

Definition at line 132 of file gradient_structure.h.

Referenced by gradient_structure(), save_dependent_variable_position(), and ~gradient_structure().

DF_FILE * gradient_structure::fp = NULL [static, private]

Definition at line 95 of file gradient_structure.h.

Referenced by cleanup_temporary_files(), get_fp(), gradient_structure(), save_dependent_variable_position(), and ~gradient_structure().

dlist * gradient_structure::GRAD_LIST [static]

Definition at line 188 of file gradient_structure.h.

Referenced by df_check_derivative_values(), df_check_derivative_values_indexed(), df_check_derivative_values_indexed_break(), funnel_derivatives(), funnel_gradcalc(), gradcalc(), gradfree(), gradient_structure(), gradnew(), and ~gradient_structure().

grad_stack * gradient_structure::GRAD_STACK1 [static]

Definition at line 186 of file gradient_structure.h.

size_t gradient_structure::GRADSTACK_BUFFER_SIZE = 4000000L [static, private]

Definition at line 123 of file gradient_structure.h.

Referenced by grad_stack::grad_stack().

double * gradient_structure::hessian_ptr = NULL [static]

Definition at line 148 of file gradient_structure.h.

Referenced by dfsdmat::allocate(), and gradient_structure().

int gradient_structure::Hybrid_bounded_flag = 0 [static]

Definition at line 147 of file gradient_structure.h.

Referenced by boundp(), boundpin(), function_minimizer::computations1(), dfboundp(), function_minimizer::hess_inv(), function_minimizer::hess_routine_noparallel(), function_minimizer::hess_routine_noparallel_random_effects(), function_minimizer::mcmc_computations(), and ndfboundp().

indvar_offset_list * gradient_structure::INDVAR_LIST = NULL [static, private]

Definition at line 130 of file gradient_structure.h.

Referenced by gradcalc(), gradient_structure(), jacobcalc(), make_indvar_list(), and ~gradient_structure().

int gradient_structure::instances = 0 [static, private]

Definition at line 138 of file gradient_structure.h.

Referenced by arr_new(), check_set_error(), funnel_gradcalc(), gradcalc(), gradfree(), gradient_structure(), gradnew(), make_indvar_list(), and ~gradient_structure().

unsigned int gradient_structure::MAX_DLINKS = 5000 [static, private]

Definition at line 129 of file gradient_structure.h.

Referenced by allocate_dvariable_space(), dlist::create(), dlist::dlist(), set_MAX_DLINKS(), and dlist::total_addresses().

unsigned long int gradient_structure::max_last_offset = 0 [static]

Definition at line 238 of file gradient_structure.h.

Referenced by arr_new().

unsigned int gradient_structure::MAX_NVAR_OFFSET = 5000 [static, private]

Definition at line 125 of file gradient_structure.h.

Referenced by gradient_structure(), make_indvar_list(), and set_MAX_NVAR_OFFSET().

dvariable * gradient_structure::MAX_RETURN = NULL [static]

Definition at line 193 of file gradient_structure.h.

Referenced by acos(), asin(), atan(), bounded_cumd_norm(), cos(), cosh(), cube(), cumd_norm(), exp(), fabs(), fourth(), gradient_structure(), inv_cumd_norm_inner(), ldexp(), log(), log10(), operator*(), operator+(), operator-(), operator/(), pow(), sfabs(), sigmoid(), sin(), sinh(), sqr(), sqrt(), square(), tan(), and tanh().

dvariable * gradient_structure::MIN_RETURN = NULL [static]

Definition at line 192 of file gradient_structure.h.

Referenced by acos(), asin(), atan(), bounded_cumd_norm(), cos(), cosh(), cube(), cumd_norm(), exp(), fabs(), fourth(), gradient_structure(), inv_cumd_norm_inner(), ldexp(), log(), log10(), operator*(), operator+(), operator-(), operator/(), pow(), RETURN_ARRAYS_INCREMENT(), sfabs(), sigmoid(), sin(), sinh(), sqr(), sqrt(), square(), tan(), and tanh().

int gradient_structure::NUM_DEPENDENT_VARIABLES = 2000 [static, private]

Definition at line 131 of file gradient_structure.h.

Referenced by gradient_structure(), function_minimizer::minimize(), and set_NUM_DEPENDENT_VARIABLES().

int gradient_structure::NUM_RETURN_ARRAYS = 25 [static, private]

Definition at line 103 of file gradient_structure.h.

Referenced by gradient_structure(), RETURN_ARRAYS_INCREMENT(), set_NUM_RETURN_ARRAYS(), and ~gradient_structure().

long int gradient_structure::NVAR = 0 [static, private]

Definition at line 102 of file gradient_structure.h.

Referenced by gradcalc(), gradient_structure(), make_indvar_list(), and ~gradient_structure().

size_t gradient_structure::PREVIOUS_TOTAL_BYTES = 0 [static, private]

Definition at line 108 of file gradient_structure.h.

Referenced by funnel_gradcalc(), grad_stack::grad_stack(), gradcalc(), and NUM_GRADSTACK_BYTES_WRITTEN().

dvariable ** gradient_structure::RETURN_ARRAYS = NULL [static, private]

Definition at line 104 of file gradient_structure.h.

Referenced by gradient_structure(), and ~gradient_structure().

int gradient_structure::RETURN_ARRAYS_PTR [static, private]

Definition at line 105 of file gradient_structure.h.

Referenced by gradient_structure(), RETURN_ARRAYS_DECREMENT(), and RETURN_ARRAYS_INCREMENT().

int gradient_structure::RETURN_ARRAYS_SIZE = 70 [static]

Definition at line 189 of file gradient_structure.h.

Referenced by gradient_structure(), RETURN_ARRAYS_DECREMENT(), RETURN_ARRAYS_INCREMENT(), and set_RETURN_ARRAYS_SIZE().

dvariable * gradient_structure::RETURN_PTR = NULL [static]

Definition at line 191 of file gradient_structure.h.

Referenced by acos(), asin(), atan(), bounded_cumd_norm(), cos(), cosh(), cube(), cumd_norm(), exp(), fabs(), fourth(), gradient_structure(), inv_cumd_norm_inner(), ldexp(), log(), log10(), operator*(), operator+(), operator-(), operator/(), pow(), RETURN_ARRAYS_INCREMENT(), sfabs(), sigmoid(), sin(), sinh(), sqr(), sqrt(), square(), tan(), and tanh().

dvariable ** gradient_structure::RETURN_PTR_CONTAINER = NULL [static, private]

Definition at line 106 of file gradient_structure.h.

Referenced by gradient_structure(), and ~gradient_structure().

int gradient_structure::save_var_file_flag = 0 [static, private]

Definition at line 126 of file gradient_structure.h.

Referenced by restore_arrays(), and save_arrays().

int gradient_structure::save_var_flag = 0 [static, private]

Definition at line 127 of file gradient_structure.h.

Referenced by gradcalc(), jacobcalc(), set_NO_SAVE_VARIABLES_VALUES(), and set_YES_SAVE_VARIABLES_VALUES().

size_t gradient_structure::TOTAL_BYTES = 0 [static, private]

Definition at line 107 of file gradient_structure.h.

Referenced by funnel_gradcalc(), grad_stack::grad_stack(), gradcalc(), NUM_GRADSTACK_BYTES_WRITTEN(), totalbytes(), and grad_stack::write_grad_stack_buffer().

long int gradient_structure::USE_FOR_HESSIAN = 0 [static, private]

Definition at line 101 of file gradient_structure.h.

Referenced by get_USE_FOR_HESSIAN(), and set_USE_FOR_HESSIAN().

int gradient_structure::x [private]

Definition at line 139 of file gradient_structure.h.

List of all members.

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

Classes

Public Member Functions

Static Public Member Functions

Static Public Attributes

Static Private Member Functions

Private Attributes

Static Private Attributes

Friends

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Friends And Related Function Documentation

Member Data Documentation