#include <ndcurves/linear_variable.h>

Inheritance diagram for ndcurves::linear_variable< Numeric, Safe >:

Public Types
typedef Eigen::Matrix< Numeric, Eigen::Dynamic, 1 >	vector_x_t
typedef Eigen::Matrix< Numeric, Eigen::Dynamic, Eigen::Dynamic >	matrix_x_t
typedef Eigen::Matrix< Numeric, 3, 1 >	vector_3_t
typedef Eigen::Matrix< Numeric, 3, 3 >	matrix_3_t
typedef linear_variable< Numeric >	linear_variable_t

Public Member Functions
	linear_variable ()
	linear_variable (const vector_x_t &c)
	linear_variable (const matrix_x_t &B, const vector_x_t &c)
	linear_variable (const linear_variable_t &other)
	~linear_variable ()
vector_x_t	operator() (const Eigen::Ref< const vector_x_t > &val) const
	Linear evaluation for vector x.
linear_variable_t &	operator+= (const linear_variable_t &w1)
	Add another linear variable.
linear_variable_t &	operator-= (const linear_variable_t &w1)
	Substract another linear variable.
linear_variable_t &	operator/= (const double d)
	Divide by a constant : p_i / d = B_i*x/d + c_i/d.
linear_variable_t &	operator*= (const double d)
	Multiply by a constant : p_i / d = B_ixd + c_i*d.
linear_variable_t	cross (const linear_variable_t &other) const
	Compute the cross product of the current linear_variable and the other. This method of course only makes sense for dimension 3 curves and dimension 3 unknown, since otherwise the result is non-linear. It assumes that a method point_t cross(const point_t&, const point_t&) has been defined.
std::size_t	size () const
	Get dimension of linear variable.
Numeric	norm () const
	Get norm of linear variable (Norm of B plus norm of C).
bool	isApprox (const linear_variable_t &other, const double prec=Eigen::NumTraits< Numeric >::dummy_precision()) const
	Check if actual linear variable and other are approximately equal given a precision threshold. Only two curves of the same class can be approximately equal,.
virtual bool	operator== (const linear_variable &other) const
	Check if actual linear variable and other are equal.
virtual bool	operator!= (const linear_variable &other) const
	Check if actual linear variable and other are different.
const matrix_x_t &	B () const
const vector_x_t &	c () const
bool	isZero () const
template<class Archive>
void	serialize (Archive &ar, const unsigned int version)
linear_variable &	operator= (const linear_variable &other)
Public Member Functions inherited from ndcurves::serialization::Serializable
template<class Derived>
void	loadFromText (const std::string &filename)
	Loads a Derived object from a text file.
template<class Derived>
void	saveAsText (const std::string &filename) const
	Saved a Derived object as a text file.
template<class Derived>
void	loadFromXML (const std::string &filename, const std::string &tag_name)
	Loads a Derived object from an XML file.
template<class Derived>
void	saveAsXML (const std::string &filename, const std::string &tag_name) const
	Saved a Derived object as an XML file.
template<class Derived>
void	loadFromBinary (const std::string &filename)
	Loads a Derived object from an binary file.
template<class Derived>
void	saveAsBinary (const std::string &filename) const
	Saved a Derived object as an binary file.

Static Public Member Functions
static linear_variable_t	Zero (size_t dim=0)
	Get a linear variable equal to zero.
static linear_variable_t	X (size_t dim=0)
	Get a linear variable equal to the variable.

Friends
class	boost::serialization::access

Member Typedef Documentation

◆ linear_variable_t

template<typename Numeric = double, bool Safe = true>

typedef linear_variable<Numeric> ndcurves::linear_variable< Numeric, Safe >::linear_variable_t

◆ matrix_3_t

template<typename Numeric = double, bool Safe = true>

typedef Eigen::Matrix<Numeric, 3, 3> ndcurves::linear_variable< Numeric, Safe >::matrix_3_t

◆ matrix_x_t

template<typename Numeric = double, bool Safe = true>

typedef Eigen::Matrix<Numeric, Eigen::Dynamic, Eigen::Dynamic> ndcurves::linear_variable< Numeric, Safe >::matrix_x_t

◆ vector_3_t

template<typename Numeric = double, bool Safe = true>

typedef Eigen::Matrix<Numeric, 3, 1> ndcurves::linear_variable< Numeric, Safe >::vector_3_t

◆ vector_x_t

template<typename Numeric = double, bool Safe = true>

typedef Eigen::Matrix<Numeric, Eigen::Dynamic, 1> ndcurves::linear_variable< Numeric, Safe >::vector_x_t

Constructor & Destructor Documentation

◆ linear_variable() [1/4]

template<typename Numeric = double, bool Safe = true>

ndcurves::linear_variable< Numeric, Safe >::linear_variable ( )

inline

◆ linear_variable() [2/4]

template<typename Numeric = double, bool Safe = true>

ndcurves::linear_variable< Numeric, Safe >::linear_variable ( const vector_x_t & c )

inline

◆ linear_variable() [3/4]

template<typename Numeric = double, bool Safe = true>

ndcurves::linear_variable< Numeric, Safe >::linear_variable	(	const matrix_x_t &	B,
		const vector_x_t &	c )

inline

◆ linear_variable() [4/4]

template<typename Numeric = double, bool Safe = true>

ndcurves::linear_variable< Numeric, Safe >::linear_variable ( const linear_variable_t & other )

inline

◆ ~linear_variable()

template<typename Numeric = double, bool Safe = true>

ndcurves::linear_variable< Numeric, Safe >::~linear_variable ( )

inline

Member Function Documentation

◆ B()

template<typename Numeric = double, bool Safe = true>

const matrix_x_t & ndcurves::linear_variable< Numeric, Safe >::B ( ) const

inline

◆ c()

template<typename Numeric = double, bool Safe = true>

const vector_x_t & ndcurves::linear_variable< Numeric, Safe >::c ( ) const

inline

◆ cross()

template<typename Numeric = double, bool Safe = true>

linear_variable_t ndcurves::linear_variable< Numeric, Safe >::cross ( const linear_variable_t & other ) const

inline

Compute the cross product of the current linear_variable and the other. This method of course only makes sense for dimension 3 curves and dimension 3 unknown, since otherwise the result is non-linear. It assumes that a method point_t cross(const point_t&, const point_t&) has been defined.

Parameters

pOther other polynomial to compute the cross product with.

Returns: a new polynomial defining the cross product between this and other

◆ isApprox()

template<typename Numeric = double, bool Safe = true>

bool ndcurves::linear_variable< Numeric, Safe >::isApprox	(	const linear_variable_t &	other,
		const double	prec = Eigen::NumTraits<Numeric>::dummy_precision() ) const

inline

Check if actual linear variable and other are approximately equal given a precision threshold. Only two curves of the same class can be approximately equal,.

Parameters

prec	: the precision threshold, default Eigen::NumTraits<Numeric>::dummy_precision()

Returns: true if the two linear variables are approximately equal.

◆ isZero()

template<typename Numeric = double, bool Safe = true>

bool ndcurves::linear_variable< Numeric, Safe >::isZero ( ) const

inline

◆ norm()

template<typename Numeric = double, bool Safe = true>

Numeric ndcurves::linear_variable< Numeric, Safe >::norm ( ) const

inline

Get norm of linear variable (Norm of B plus norm of C).

Returns: Norm of linear variable.

◆ operator!=()

template<typename Numeric = double, bool Safe = true>

virtual bool ndcurves::linear_variable< Numeric, Safe >::operator!= ( const linear_variable< Numeric, Safe > & other ) const

inlinevirtual

Check if actual linear variable and other are different.

Parameters

other : the other linear_variable to check.

Returns: true if the two linear_variable are different.

◆ operator()()

template<typename Numeric = double, bool Safe = true>

vector_x_t ndcurves::linear_variable< Numeric, Safe >::operator() ( const Eigen::Ref< const vector_x_t > & val ) const

inline

Linear evaluation for vector x.

Parameters

val	: vector to evaluate the linear variable.

Returns: Evaluation of linear variable for vector x.

◆ operator*=()

template<typename Numeric = double, bool Safe = true>

linear_variable_t & ndcurves::linear_variable< Numeric, Safe >::operator*= ( const double d )

inline

Multiply by a constant : p_i / d = B_i*x*d + c_i*d.

Parameters

d	: constant.

Returns: Linear variable after operation.

◆ operator+=()

template<typename Numeric = double, bool Safe = true>

linear_variable_t & ndcurves::linear_variable< Numeric, Safe >::operator+= ( const linear_variable_t & w1 )

inline

Add another linear variable.

Parameters

w1	: linear variable to add.

Returns: Linear variable after operation.

◆ operator-=()

template<typename Numeric = double, bool Safe = true>

linear_variable_t & ndcurves::linear_variable< Numeric, Safe >::operator-= ( const linear_variable_t & w1 )

inline

Substract another linear variable.

Parameters

w1	: linear variable to substract.

Returns: Linear variable after operation.

◆ operator/=()

template<typename Numeric = double, bool Safe = true>

linear_variable_t & ndcurves::linear_variable< Numeric, Safe >::operator/= ( const double d )

inline

Divide by a constant : p_i / d = B_i*x/d + c_i/d.

Parameters

d	: constant.

Returns: Linear variable after operation.

◆ operator=()

template<typename Numeric = double, bool Safe = true>

linear_variable & ndcurves::linear_variable< Numeric, Safe >::operator= ( const linear_variable< Numeric, Safe > & other )

inline

◆ operator==()

template<typename Numeric = double, bool Safe = true>

virtual bool ndcurves::linear_variable< Numeric, Safe >::operator== ( const linear_variable< Numeric, Safe > & other ) const

inlinevirtual

Check if actual linear variable and other are equal.

Parameters

other : the other linear_variable to check.

Returns: true if the two linear_variable are equals.

◆ serialize()

template<typename Numeric = double, bool Safe = true>

template<class Archive>

void ndcurves::linear_variable< Numeric, Safe >::serialize	(	Archive &	ar,
		const unsigned int	version )

inline

◆ size()

template<typename Numeric = double, bool Safe = true>

std::size_t ndcurves::linear_variable< Numeric, Safe >::size ( ) const

inline

Get dimension of linear variable.

Returns: Dimension of linear variable.

◆ X()

template<typename Numeric = double, bool Safe = true>

linear_variable_t ndcurves::linear_variable< Numeric, Safe >::X ( size_t dim = 0 )

inlinestatic

Get a linear variable equal to the variable.

Parameters

dim	: Dimension of linear variable.

Returns: Linear variable equal to the variable.

◆ Zero()

template<typename Numeric = double, bool Safe = true>

linear_variable_t ndcurves::linear_variable< Numeric, Safe >::Zero ( size_t dim = 0 )

inlinestatic

Get a linear variable equal to zero.

Parameters

dim	: Dimension of linear variable.

Returns: Linear variable equal to zero.

◆ boost::serialization::access

template<typename Numeric = double, bool Safe = true>

friend class boost::serialization::access

friend

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

include/ndcurves/fwd.h
include/ndcurves/linear_variable.h

Public Types

Public Member Functions

Static Public Member Functions

Friends

Member Typedef Documentation

◆ linear_variable_t

◆ matrix_3_t

◆ matrix_x_t

◆ vector_3_t

◆ vector_x_t

Constructor & Destructor Documentation

◆ linear_variable() [1/4]

◆ linear_variable() [2/4]

◆ linear_variable() [3/4]

◆ linear_variable() [4/4]

◆ ~linear_variable()

Member Function Documentation

◆ B()

◆ c()

◆ cross()

◆ isApprox()

◆ isZero()

◆ norm()

◆ operator!=()

◆ operator()()

◆ operator*=()

◆ operator+=()

◆ operator-=()

◆ operator/=()

◆ operator=()

◆ operator==()

◆ serialize()

◆ size()

◆ X()

◆ Zero()

Friends And Related Symbol Documentation

◆ boost::serialization::access