Class of Newton-Raphson method. More...

#include <num_collect/roots/newton_raphson.h>

Inheritance diagram for num_collect::roots::newton_raphson< Function >:

Collaboration diagram for num_collect::roots::newton_raphson< Function >:

Public Types
using	base_type
	Type of base class.

using	jacobian_solver_type
	Type of solvers of Jacobian matrices.

using	jacobian_type = typename function_type::jacobian_type
	Type of Jacobian matrices.

using	scalar_type = typename variable_type::Scalar
	Type of scalars in variables.

using	this_type = newton_raphson<Function>
	Type of this object.

Public Types inherited from num_collect::roots::function_root_finder_base< newton_raphson< Function >, Function >
using	function_type
	Type of function of equation.

using	variable_type
	Type of variables.

Public Member Functions
	newton_raphson (const function_type &function=function_type())
	Constructor.

	newton_raphson (const function_type &function=function_type())
	Constructor.

void	configure_iteration_logger (logging::iterations::iteration_logger< this_type > &iteration_logger) const
	Configure an iteration logger.

void	configure_iteration_logger (logging::iterations::iteration_logger< this_type > &iteration_logger) const
	Configure an iteration logger.

auto	evaluations () const noexcept -> index_type
	Get the number of function evaluations.

auto	evaluations () const noexcept -> index_type
	Get the number of function evaluations.

void	init (const variable_type &variable)
	Initialize.

void	init (const variable_type &variable)
	Initialize.

auto	is_stop_criteria_satisfied () const -> bool
	Determine if stopping criteria of the algorithm are satisfied.

auto	is_stop_criteria_satisfied () const -> bool
	Determine if stopping criteria of the algorithm are satisfied.

void	iterate ()
	Iterate the algorithm once.

void	iterate ()
	Iterate the algorithm once.

auto	iterations () const noexcept -> index_type
	Get the number of iterations.

auto	iterations () const noexcept -> index_type
	Get the number of iterations.

auto	jacobian () const -> std::invoke_result_t< decltype(&function_type::jacobian), const function_type >
	Get Jacobian matrix.

auto	jacobian () const -> std::invoke_result_t< decltype(&function_type::jacobian), const function_type >
	Get Jacobian matrix.

auto	last_change () const noexcept -> scalar_type
	Get the last change of the variable.

auto	last_change () const noexcept -> variable_type
	Get the last change of the variable.

auto	max_iterations (index_type val) -> this_type &
	Set maximum number of iterations.

auto	max_iterations (index_type val) -> this_type &
	Set maximum number of iterations.

auto	tol_last_change (const scalar_type &val) -> this_type &
	Set tolerance of last change of the variable.

auto	tol_last_change (const variable_type &val) -> this_type &
	Set tolerance of last change of the variable.

auto	tol_value_norm (const scalar_type &val) -> this_type &
	Set tolerance of the norm of function value.

auto	tol_value_norm (const variable_type &val) -> this_type &
	Set tolerance of the norm of function value.

auto	value () const -> std::invoke_result_t< decltype(&function_type::value), const function_type >
	Get current value.

auto	value () const -> std::invoke_result_t< decltype(&function_type::value), const function_type >
	Get current value.

auto	value_norm () const noexcept -> scalar_type
	Get the norm of function value.

auto	value_norm () const noexcept -> variable_type
	Get the norm of function value.

auto	variable () const -> const variable_type &
	Get current variable.

auto	variable () const -> const variable_type &
	Get current variable.

Public Member Functions inherited from num_collect::roots::function_root_finder_base< newton_raphson< Function >, Function >
	function_root_finder_base (logging::log_tag_view tag, const function_type &function=function_type())
	Constructor.

auto	function () -> function_type &
	Get the function of equation.

auto	function () const -> const function_type &
	Get the function of equation.

Public Member Functions inherited from num_collect::base::iterative_solver_base< newton_raphson< Function > >
	iterative_solver_base (logging::log_tag_view tag)
	Constructor.

	iterative_solver_base (logging::log_tag_view tag)
	Constructor.

auto	is_stop_criteria_satisfied () const -> bool
	Determine if stopping criteria of the algorithm are satisfied.

auto	is_stop_criteria_satisfied () const -> bool
	Determine if stopping criteria of the algorithm are satisfied.

void	iterate ()
	Iterate the algorithm once.

void	iterate ()
	Iterate the algorithm once.

void	solve ()
	Solve the problem.

void	solve ()
	Solve the problem.

Public Member Functions inherited from num_collect::logging::logging_mixin
	logging_mixin (log_tag_view tag)
	Constructor.

template<typename Child >
void	configure_child_algorithm_logger_if_exists (Child &child)
	Configure a logger of a child algorithm if exists.

auto	logger () const noexcept -> const num_collect::logging::logger &
	Access to the logger.

auto	logger () noexcept -> num_collect::logging::logger &
	Access to the logger.

Public Member Functions inherited from num_collect::logging::iterations::iteration_logger_mixin< newton_raphson< Function > >
	iteration_logger_mixin ()=default
	Constructor.

void	configure_iteration_logger (num_collect::logging::iterations::iteration_logger< newton_raphson< Function > > &iteration_logger) const
	Configure an iteration logger.

auto	initialize_iteration_logger () -> num_collect::logging::iterations::iteration_logger< newton_raphson< Function > > &
	Get the iteration logger.

Private Attributes
variable_type	change_ {}
	Change.

index_type	evaluations_ {}
	Number of function evaluations.

index_type	iterations_ {}
	Number of iterations.

jacobian_solver_type	jacobian_solver_ {}
	Solver of Jacobian matrices.

variable_type	last_change_ {}
	Last change of the variable.

scalar_type	last_change_ {}
	Last change of the variable.

index_type	max_iterations_ {default_max_iterations}
	Maximum iterations.

variable_type	tol_last_change_ {default_tol_last_change}
	Threshold of last change of the variable.

scalar_type	tol_last_change_ {default_tol_last_change}
	Threshold of last change of the variable.

variable_type	tol_value_norm_ {default_tol_value_norm}
	Threshold of the norm of function value.

scalar_type	tol_value_norm_ {default_tol_value_norm}
	Threshold of the norm of function value.

variable_type	value_norm_ {}
	Norm of function value.

scalar_type	value_norm_ {}
	Norm of function value.

variable_type	variable_ {}
	Variable.

Static Private Attributes
static constexpr index_type	default_max_iterations = 1000
	Default maximum iterations.

static constexpr auto	default_tol_last_change
	Default tolerance of last change of the variable.

static constexpr auto	default_tol_value_norm
	Default tolerance of the norm of function value.

Additional Inherited Members
Protected Member Functions inherited from num_collect::base::iterative_solver_base< newton_raphson< Function > >
auto	derived () const noexcept -> const newton_raphson< Function > &
	Access derived object.

auto	derived () const noexcept -> const newton_raphson< Function > &
	Access derived object.

auto	derived () noexcept -> newton_raphson< Function > &
	Access derived object.

auto	derived () noexcept -> newton_raphson< Function > &
	Access derived object.

Detailed Description

template<concepts::multi_variate_differentiable_function Function>
class num_collect::roots::newton_raphson< Function >

Class of Newton-Raphson method.

This version is used when variable type is a floating-point number type.

Template Parameters

Function Type of the function of equation.

This version is used when variable type is Eigen's vector.

Template Parameters

Function Type of the function of equation.

Definition at line 296 of file newton_raphson.h.

Member Typedef Documentation

◆ base_type

template<concepts::multi_variate_differentiable_function Function>

typedef function_root_finder_base< newton_raphson< Function >, Function > num_collect::roots::newton_raphson< Function >::base_type

Initial value:

function_root_finder_base<newton_raphson<Function>, Function>

num_collect::roots::function_root_finder_base< newton_raphson< Function >, Function >::function_root_finder_base

function_root_finder_base(logging::log_tag_view tag, const function_type &function=function_type())

Definition function_root_finder_base.h:50

Type of base class.

Definition at line 68 of file newton_raphson.h.

◆ jacobian_solver_type

template<concepts::multi_variate_differentiable_function Function>

using num_collect::roots::newton_raphson< Function >::jacobian_solver_type

Initial value:

Eigen::PartialPivLU<typename Function::jacobian_type>

Type of solvers of Jacobian matrices.

Definition at line 316 of file newton_raphson.h.

◆ jacobian_type

template<concepts::multi_variate_differentiable_function Function>

using num_collect::roots::newton_raphson< Function >::jacobian_type = typename function_type::jacobian_type

Type of Jacobian matrices.

Definition at line 313 of file newton_raphson.h.

◆ scalar_type

template<concepts::multi_variate_differentiable_function Function>

using num_collect::roots::newton_raphson< Function >::scalar_type = typename variable_type::Scalar

Type of scalars in variables.

Definition at line 310 of file newton_raphson.h.

◆ this_type

template<concepts::multi_variate_differentiable_function Function>

typedef newton_raphson< Function > num_collect::roots::newton_raphson< Function >::this_type = newton_raphson<Function>

Type of this object.

Definition at line 65 of file newton_raphson.h.

Constructor & Destructor Documentation

◆ newton_raphson() [1/2]

template<concepts::multi_variate_differentiable_function Function>

num_collect::roots::newton_raphson< Function >::newton_raphson ( const function_type & function = function_type() )

inlineexplicit

Constructor.

Parameters

[in] function Function of equation.

Definition at line 82 of file newton_raphson.h.

◆ newton_raphson() [2/2]

template<concepts::multi_variate_differentiable_function Function>

num_collect::roots::newton_raphson< Function >::newton_raphson ( const function_type & function = function_type() )

inlineexplicit

Constructor.

Parameters

[in] function Function of equation.

Definition at line 324 of file newton_raphson.h.

Member Function Documentation

◆ configure_iteration_logger() [1/2]

template<concepts::multi_variate_differentiable_function Function>

void num_collect::roots::newton_raphson< Function >::configure_iteration_logger ( logging::iterations::iteration_logger< this_type > & iteration_logger ) const

inline

Configure an iteration logger.

Parameters

[in] iteration_logger Iteration logger.

Definition at line 123 of file newton_raphson.h.

◆ configure_iteration_logger() [2/2]

template<concepts::multi_variate_differentiable_function Function>

void num_collect::roots::newton_raphson< Function >::configure_iteration_logger ( logging::iterations::iteration_logger< this_type > & iteration_logger ) const

inline

Configure an iteration logger.

Parameters

[in] iteration_logger Iteration logger.

Definition at line 364 of file newton_raphson.h.

◆ evaluations() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::evaluations ( ) const -> index_type

inlinenodiscardnoexcept

Get the number of function evaluations.

Returns: Number of function evaluations.

Definition at line 183 of file newton_raphson.h.

◆ evaluations() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::evaluations ( ) const -> index_type

inlinenodiscardnoexcept

Get the number of function evaluations.

Returns: Number of function evaluations.

Definition at line 424 of file newton_raphson.h.

◆ init() [1/2]

template<concepts::multi_variate_differentiable_function Function>

void num_collect::roots::newton_raphson< Function >::init ( const variable_type & variable )

inline

Initialize.

Parameters

[in] variable Initial variable.

Definition at line 90 of file newton_raphson.h.

◆ init() [2/2]

template<concepts::multi_variate_differentiable_function Function>

void num_collect::roots::newton_raphson< Function >::init ( const variable_type & variable )

inline

Initialize.

Parameters

[in] variable Initial variable.

Definition at line 332 of file newton_raphson.h.

◆ is_stop_criteria_satisfied() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::is_stop_criteria_satisfied ( ) const -> bool

inlinenodiscard

Determine if stopping criteria of the algorithm are satisfied.

Returns: If stopping criteria of the algorithm are satisfied.

Definition at line 116 of file newton_raphson.h.

◆ is_stop_criteria_satisfied() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::is_stop_criteria_satisfied ( ) const -> bool

inlinenodiscard

Determine if stopping criteria of the algorithm are satisfied.

Returns: If stopping criteria of the algorithm are satisfied.

Definition at line 357 of file newton_raphson.h.

◆ iterate() [1/2]

template<concepts::multi_variate_differentiable_function Function>

void num_collect::roots::newton_raphson< Function >::iterate ( )

inline

Iterate the algorithm once.

Warning: Any required initializations (with init functions) are assumed to have been done.

Definition at line 103 of file newton_raphson.h.

◆ iterate() [2/2]

template<concepts::multi_variate_differentiable_function Function>

void num_collect::roots::newton_raphson< Function >::iterate ( )

inline

Iterate the algorithm once.

Warning: Any required initializations (with init functions) are assumed to have been done.

Definition at line 344 of file newton_raphson.h.

◆ iterations() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::iterations ( ) const -> index_type

inlinenodiscardnoexcept

Get the number of iterations.

Returns: Number of iterations.

Definition at line 174 of file newton_raphson.h.

◆ iterations() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::iterations ( ) const -> index_type

inlinenodiscardnoexcept

Get the number of iterations.

Returns: Number of iterations.

Definition at line 415 of file newton_raphson.h.

◆ jacobian() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::jacobian ( ) const -> std::invoke_result_t<decltype(&function_type::jacobian), const function_type>

inlinenodiscard

Get Jacobian matrix.

Returns: Jacobian matrix.

Definition at line 163 of file newton_raphson.h.

◆ jacobian() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::jacobian ( ) const -> std::invoke_result_t<decltype(&function_type::jacobian), const function_type>

inlinenodiscard

Get Jacobian matrix.

Returns: Jacobian matrix.

Definition at line 404 of file newton_raphson.h.

◆ last_change() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::last_change ( ) const -> scalar_type

inlinenodiscardnoexcept

Get the last change of the variable.

Returns: Last change of the variable.

Definition at line 433 of file newton_raphson.h.

◆ last_change() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::last_change ( ) const -> variable_type

inlinenodiscardnoexcept

Get the last change of the variable.

Returns: Last change of the variable.

Definition at line 192 of file newton_raphson.h.

◆ max_iterations() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::max_iterations ( index_type val ) -> this_type&

inline

Set maximum number of iterations.

Parameters

[in] val Value.

Returns: This.

Definition at line 211 of file newton_raphson.h.

◆ max_iterations() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::max_iterations ( index_type val ) -> this_type&

inline

Set maximum number of iterations.

Parameters

[in] val Value.

Returns: This.

Definition at line 452 of file newton_raphson.h.

◆ tol_last_change() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::tol_last_change ( const scalar_type & val ) -> this_type&

inline

Set tolerance of last change of the variable.

Parameters

[in] val Value.

Returns: This.

Definition at line 465 of file newton_raphson.h.

◆ tol_last_change() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::tol_last_change ( const variable_type & val ) -> this_type&

inline

Set tolerance of last change of the variable.

Parameters

[in] val Value.

Returns: This.

Definition at line 224 of file newton_raphson.h.

◆ tol_value_norm() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::tol_value_norm ( const scalar_type & val ) -> this_type&

inline

Set tolerance of the norm of function value.

Parameters

[in] val Value.

Returns: This.

Definition at line 480 of file newton_raphson.h.

◆ tol_value_norm() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::tol_value_norm ( const variable_type & val ) -> this_type&

inline

Set tolerance of the norm of function value.

Parameters

[in] val Value.

Returns: This.

Definition at line 239 of file newton_raphson.h.

◆ value() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::value ( ) const -> std::invoke_result_t<decltype(&function_type::value), const function_type>

inlinenodiscard

Get current value.

Returns: Current value.

Definition at line 152 of file newton_raphson.h.

◆ value() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::value ( ) const -> std::invoke_result_t<decltype(&function_type::value), const function_type>

inlinenodiscard

Get current value.

Returns: Current value.

Definition at line 393 of file newton_raphson.h.

◆ value_norm() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::value_norm ( ) const -> scalar_type

inlinenodiscardnoexcept

Get the norm of function value.

Returns: Norm of function value.

Definition at line 442 of file newton_raphson.h.

◆ value_norm() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::value_norm ( ) const -> variable_type

inlinenodiscardnoexcept

Get the norm of function value.

Returns: Norm of function value.

Definition at line 201 of file newton_raphson.h.

◆ variable() [1/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::variable ( ) const -> const variable_type&

inlinenodiscard

Get current variable.

Returns: Current variable.

Definition at line 143 of file newton_raphson.h.

◆ variable() [2/2]

template<concepts::multi_variate_differentiable_function Function>

auto num_collect::roots::newton_raphson< Function >::variable ( ) const -> const variable_type&

inlinenodiscard

Get current variable.

Returns: Current variable.

Definition at line 384 of file newton_raphson.h.

Member Data Documentation

◆ change_

template<concepts::multi_variate_differentiable_function Function>

variable_type num_collect::roots::newton_raphson< Function >::change_ {}

private

Change.

Definition at line 253 of file newton_raphson.h.

◆ default_max_iterations

template<concepts::multi_variate_differentiable_function Function>

static constexpr index_type num_collect::roots::newton_raphson< Function >::default_max_iterations = 1000

staticconstexprprivate

Default maximum iterations.

Definition at line 268 of file newton_raphson.h.

◆ default_tol_last_change

template<concepts::multi_variate_differentiable_function Function>

static constexpr auto num_collect::roots::newton_raphson< Function >::default_tol_last_change

staticconstexprprivate

Initial value:

=

static_cast<variable_type>(1e-6)

num_collect::roots::function_root_finder_base< newton_raphson< Function >, Function >::variable_type

typename function_type::variable_type variable_type

Definition function_root_finder_base.h:42

Default tolerance of last change of the variable.

Definition at line 274 of file newton_raphson.h.

◆ default_tol_value_norm

template<concepts::multi_variate_differentiable_function Function>

static constexpr auto num_collect::roots::newton_raphson< Function >::default_tol_value_norm

staticconstexprprivate

Initial value:

=

static_cast<variable_type>(1e-6)

Default tolerance of the norm of function value.

Definition at line 281 of file newton_raphson.h.

◆ evaluations_

template<concepts::multi_variate_differentiable_function Function>

index_type num_collect::roots::newton_raphson< Function >::evaluations_ {}

private

Number of function evaluations.

Definition at line 259 of file newton_raphson.h.

◆ iterations_

template<concepts::multi_variate_differentiable_function Function>

index_type num_collect::roots::newton_raphson< Function >::iterations_ {}

private

Number of iterations.

Definition at line 256 of file newton_raphson.h.

◆ jacobian_solver_

template<concepts::multi_variate_differentiable_function Function>

jacobian_solver_type num_collect::roots::newton_raphson< Function >::jacobian_solver_ {}

private

Solver of Jacobian matrices.

Definition at line 497 of file newton_raphson.h.

◆ last_change_ [1/2]

template<concepts::multi_variate_differentiable_function Function>

variable_type num_collect::roots::newton_raphson< Function >::last_change_ {}

private

Last change of the variable.

Definition at line 262 of file newton_raphson.h.

◆ last_change_ [2/2]

template<concepts::multi_variate_differentiable_function Function>

scalar_type num_collect::roots::newton_raphson< Function >::last_change_ {}

private

Last change of the variable.

Definition at line 506 of file newton_raphson.h.

◆ max_iterations_

template<concepts::multi_variate_differentiable_function Function>

index_type num_collect::roots::newton_raphson< Function >::max_iterations_ {default_max_iterations}

private

Maximum iterations.

Definition at line 271 of file newton_raphson.h.

◆ tol_last_change_ [1/2]

template<concepts::multi_variate_differentiable_function Function>

variable_type num_collect::roots::newton_raphson< Function >::tol_last_change_ {default_tol_last_change}

private

Threshold of last change of the variable.

Definition at line 278 of file newton_raphson.h.

◆ tol_last_change_ [2/2]

template<concepts::multi_variate_differentiable_function Function>

scalar_type num_collect::roots::newton_raphson< Function >::tol_last_change_ {default_tol_last_change}

private

Threshold of last change of the variable.

Definition at line 522 of file newton_raphson.h.

◆ tol_value_norm_ [1/2]

template<concepts::multi_variate_differentiable_function Function>

variable_type num_collect::roots::newton_raphson< Function >::tol_value_norm_ {default_tol_value_norm}

private

Threshold of the norm of function value.

Definition at line 285 of file newton_raphson.h.

◆ tol_value_norm_ [2/2]

template<concepts::multi_variate_differentiable_function Function>

scalar_type num_collect::roots::newton_raphson< Function >::tol_value_norm_ {default_tol_value_norm}

private

Threshold of the norm of function value.

Definition at line 529 of file newton_raphson.h.

◆ value_norm_ [1/2]

template<concepts::multi_variate_differentiable_function Function>

variable_type num_collect::roots::newton_raphson< Function >::value_norm_ {}

private

Norm of function value.

Definition at line 265 of file newton_raphson.h.

◆ value_norm_ [2/2]

template<concepts::multi_variate_differentiable_function Function>

scalar_type num_collect::roots::newton_raphson< Function >::value_norm_ {}

private

Norm of function value.

Definition at line 509 of file newton_raphson.h.

◆ variable_

template<concepts::multi_variate_differentiable_function Function>

variable_type num_collect::roots::newton_raphson< Function >::variable_ {}

private

Variable.

Definition at line 250 of file newton_raphson.h.

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

include/num_collect/roots/newton_raphson.h

Public Types

Public Member Functions

Private Attributes

Static Private Attributes

Additional Inherited Members

Detailed Description

Member Typedef Documentation

◆ base_type

◆ jacobian_solver_type

◆ jacobian_type

◆ scalar_type

◆ this_type

Constructor & Destructor Documentation

◆ newton_raphson() [1/2]

◆ newton_raphson() [2/2]

Member Function Documentation

◆ configure_iteration_logger() [1/2]

◆ configure_iteration_logger() [2/2]

◆ evaluations() [1/2]

◆ evaluations() [2/2]

◆ init() [1/2]

◆ init() [2/2]

◆ is_stop_criteria_satisfied() [1/2]

◆ is_stop_criteria_satisfied() [2/2]

◆ iterate() [1/2]

◆ iterate() [2/2]

◆ iterations() [1/2]

◆ iterations() [2/2]

◆ jacobian() [1/2]

◆ jacobian() [2/2]

◆ last_change() [1/2]

◆ last_change() [2/2]

◆ max_iterations() [1/2]

◆ max_iterations() [2/2]

◆ tol_last_change() [1/2]

◆ tol_last_change() [2/2]

◆ tol_value_norm() [1/2]

◆ tol_value_norm() [2/2]

◆ value() [1/2]

◆ value() [2/2]

◆ value_norm() [1/2]

◆ value_norm() [2/2]

◆ variable() [1/2]

◆ variable() [2/2]

Member Data Documentation

◆ change_

◆ default_max_iterations

◆ default_tol_last_change

◆ default_tol_value_norm

◆ evaluations_

◆ iterations_

◆ jacobian_solver_

◆ last_change_ [1/2]

◆ last_change_ [2/2]

◆ max_iterations_

◆ tol_last_change_ [1/2]

◆ tol_last_change_ [2/2]

◆ tol_value_norm_ [1/2]

◆ tol_value_norm_ [2/2]

◆ value_norm_ [1/2]

◆ value_norm_ [2/2]

◆ variable_