grad_stack_entry Class Reference

Holds derivative information for arithmetic operators and math library functions. More...

#include <fvar.hpp>

Public Attributes
double *	dep_addr
	Pointer to dependent variable.
void(*	func )(void)
	< Pointer to function (if any) to be used for derivative calculation
double *	ind_addr1
	Pointer to first independent variable.
double *	ind_addr2
	Pointer to second independent variable.
double	mult1
	First mutiplicand in chain rule multipication.
double	mult2
	Second mutiplicand in chain rule multipication.
Friends
void	default_evaluation (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	gradient_structure::jacobcalc (int nvar, const dmatrix &jac)
void	gradloop ()
void	slave_gradcalc (void)

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Detailed Description

Holds derivative information for arithmetic operators and math library functions.

Used to record gradient information on the gradient stack for processing by gradcalc().

Definition at line 852 of file fvar.hpp.

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Friends And Related Function Documentation

void default_evaluation

(

void

)

[friend]

Description not yet available.

Parameters:

Definition at line 66 of file def_eval.cpp.

friend class grad_stack [friend]

Definition at line 867 of file fvar.hpp.

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 gradient_structure::jacobcalc	(	int	nvar,
		const dmatrix &	jac
	)		[friend]

void gradloop

(

)

[friend]

void slave_gradcalc

(

void

)

[friend]

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Member Data Documentation

double* grad_stack_entry::dep_addr

Pointer to dependent variable.

Definition at line 857 of file fvar.hpp.

Referenced by default_evaluation(), default_evaluation0(), default_evaluation1(), default_evaluation1m(), default_evaluation2(), default_evaluation3(), default_evaluation3ind(), default_evaluation4(), default_evaluation4ind(), default_evaluation4m(), df_eq_pvdoub(), df_minus_eq_pvpv(), df_plus_eq_pvpv(), funnel_gradcalc(), gradcalc(), gradient_structure::jacobcalc(), grad_stack::set_gradient_stack(), grad_stack::set_gradient_stack2(), and grad_stack::set_gradient_stack4().

void(* grad_stack_entry::func)(void)

< Pointer to function (if any) to be used for derivative calculation

Definition at line 856 of file fvar.hpp.

Referenced by gradcalc(), gradient_structure::jacobcalc(), grad_stack::set_gradient_stack(), grad_stack::set_gradient_stack2(), and grad_stack::set_gradient_stack4().

double* grad_stack_entry::ind_addr1

Pointer to first independent variable.

Definition at line 858 of file fvar.hpp.

Referenced by default_evaluation(), default_evaluation1(), default_evaluation1m(), default_evaluation2(), default_evaluation3(), default_evaluation3ind(), default_evaluation4(), default_evaluation4ind(), default_evaluation4m(), df_minus_eq_pvpv(), df_plus_eq_pvpv(), grad_stack::set_gradient_stack(), grad_stack::set_gradient_stack2(), and grad_stack::set_gradient_stack4().

double* grad_stack_entry::ind_addr2

Pointer to second independent variable.

Definition at line 860 of file fvar.hpp.

Referenced by default_evaluation(), default_evaluation3(), default_evaluation3ind(), default_evaluation4(), default_evaluation4ind(), default_evaluation4m(), grad_stack::set_gradient_stack(), and grad_stack::set_gradient_stack4().

double grad_stack_entry::mult1

First mutiplicand in chain rule multipication.

Definition at line 859 of file fvar.hpp.

Referenced by default_evaluation(), default_evaluation2(), default_evaluation3(), default_evaluation3ind(), default_evaluation4ind(), grad_stack::set_gradient_stack(), and grad_stack::set_gradient_stack2().

double grad_stack_entry::mult2

Second mutiplicand in chain rule multipication.

Definition at line 861 of file fvar.hpp.

Referenced by default_evaluation(), default_evaluation3(), default_evaluation3ind(), default_evaluation4ind(), and grad_stack::set_gradient_stack().

List of all members.

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

• fvar.hpp (* $Id$)