Classes
struct	CachedFunctionTypes

struct	PrecisionTrait

struct	AutopromoteTrait

struct	AutopromoteTrait< Plus< U, V > >

struct	AutopromoteTrait< Minus< U, V > >

struct	AutopromoteTrait< Product< U, V > >

struct	AutopromoteTrait< Scalar< U > >

struct	promote2

struct	promote2< T1, T2, 0 >

struct	PromoteTrait

struct	BlockProvider
	Gives access to a std::vector of std::pair<size_t, size_t> representing blocks of input Those blocks are needed even if the function is not differentiable, making it easier for us to define it in a exterior class to then use it transparently. More...

struct	StructuredInputJacobianInternal
	This class gives access to the getJacobianBlock() method, whose implementation is to be specialized according to the type of matrix handled by the function. More...

struct	StructuredInputJacobianInternal< FuncType, roboptim::EigenMatrixDense >
	DenseMatrix specialization of the getJacobianBlock() method provider. More...

struct	StructuredInputJacobianInternal< FuncType, roboptim::EigenMatrixSparse >
	SparseMatrix specialization of the getJacobianBlock() method provider. More...

class	StructuredInput
	Provides utility methods to describe the input format of a function. More...

struct	add_shared_ptr
	Transform a types list into a types list of shared pointers. More...

struct	shared_ptr_variant
	Generate a Boost.Variant of shared pointers from the static constraints types list. More...

struct	is_eigen_type
	Check whether the type provided is an Eigen type. More...

struct	aligned_vector_type
	Return an Eigen-aligned std::vector if required, else use the default allocator. More...

struct	const_eigen_ref
	Return the type of a const reference to an Eigen matrix, using Eigen's Ref. More...

struct	const_ref
	Return the proper const reference type of a given type. More...

struct	row_vector_stride
	Get the matrix stride type for a row vector, given a matrix storage order. More...

struct	list_converter
	Converts CLIST to a boost::mpl::vector to ensure a similar behavior for codes using different random access sequences (vector, list, etc.). More...

struct	contains_base_of
	Whether a sequence of types contains a base of a given type. More...

struct	get_descendant
	Get the descendant among two relatives. More...

struct	check_constraint_type
	Checks whether C is a valid constraint type in CLIST. More...

struct	cast_constraint_type
	Get the constraint type of CLIST that best match C. More...

struct	derives_from_function
	Checks whether the function types derives from Function or SparseFunction. More...

struct	derives_from_differentiable_function
	Checks whether the function type derives from DifferentiableFunction or DifferentiableSparseFunction. More...

struct	derives_from_twice_differentiable_function
	Checks whether the function type derives from TwiceDifferentiableFunction or TwiceDifferentiableSparseFunction. More...

struct	derives_from_ntimes_derivable_function
	Checks whether the function type derives from NTimesDerivableFunction. More...

struct	list_derives_from_function
	Checks whether all the constraints derive from Function or SparseFunction. More...

struct	is_compatible_list
	Check that CLIST_ is a subset of CLIST (i.e. More...

struct	ConvertConstraint
	Convert a constraint to a proper type. More...

struct	ConvertConstraintVariant
	Convert a constraint from a Boost.Variant to an adequate constraint type depending on the problem's constraints type. More...

struct	ConcatenateTypes

struct	ProductDifferentiation
	Utility structure used for product differentiation. More...

struct	EvaluateConstraintViolation

struct	LogJacobianConstraint

struct	printConstraint

struct	StateParameterPrintVisitor
	Visitor used to print state parameters (variant). More...

class	DisableFPE
	Helper class used to disable floating-point exceptions. More...

struct	NoopDeleter
	Custom deleter that does not delete anything. More...

struct	PrintSolverParameter

Typedefs
typedef void *	fenv_t
	ROBOPTIM_HAS_FENV_H. More...

Functions
	ROBOPTIM_CORE_DECLARE_PRECISION (GenericFunction< EigenMatrixDense >, 1)

	ROBOPTIM_CORE_DECLARE_PRECISION (GenericFunction< EigenMatrixSparse >, 1)

	ROBOPTIM_CORE_DECLARE_PRECISION (GenericDifferentiableFunction< EigenMatrixDense >, 2)

	ROBOPTIM_CORE_DECLARE_PRECISION (GenericDifferentiableFunction< EigenMatrixSparse >, 2)

	ROBOPTIM_CORE_DECLARE_PRECISION (GenericTwiceDifferentiableFunction< EigenMatrixDense >, 3)

	ROBOPTIM_CORE_DECLARE_PRECISION (GenericTwiceDifferentiableFunction< EigenMatrixSparse >, 3)

	ROBOPTIM_CORE_DECLARE_PRECISION (GenericQuadraticFunction< EigenMatrixDense >, 3)

	ROBOPTIM_CORE_DECLARE_PRECISION (GenericQuadraticFunction< EigenMatrixSparse >, 3)

	ROBOPTIM_CORE_DECLARE_PRECISION (GenericLinearFunction< EigenMatrixDense >, 4)

	ROBOPTIM_CORE_DECLARE_PRECISION (GenericLinearFunction< EigenMatrixSparse >, 4)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (GenericNumericQuadraticFunction< EigenMatrixDense >, GenericQuadraticFunction< EigenMatrixDense >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (GenericNumericQuadraticFunction< EigenMatrixSparse >, GenericQuadraticFunction< EigenMatrixSparse >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (GenericNumericLinearFunction< EigenMatrixDense >, GenericLinearFunction< EigenMatrixDense >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (GenericNumericLinearFunction< EigenMatrixSparse >, GenericLinearFunction< EigenMatrixSparse >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (GenericConstantFunction< EigenMatrixDense >, GenericLinearFunction< EigenMatrixDense >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (GenericConstantFunction< EigenMatrixSparse >, GenericLinearFunction< EigenMatrixSparse >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (GenericIdentityFunction< EigenMatrixDense >, GenericLinearFunction< EigenMatrixDense >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (GenericIdentityFunction< EigenMatrixSparse >, GenericLinearFunction< EigenMatrixSparse >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (Cos< EigenMatrixDense >, GenericDifferentiableFunction< EigenMatrixDense >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (Cos< EigenMatrixSparse >, GenericDifferentiableFunction< EigenMatrixSparse >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (Sin< EigenMatrixDense >, GenericDifferentiableFunction< EigenMatrixDense >)

	ROBOPTIM_CORE_DECLARE_AUTOPROMOTE (Sin< EigenMatrixSparse >, GenericDifferentiableFunction< EigenMatrixSparse >)

template<typename Derived >
Eigen::Block< Derived >	getBlock (Eigen::SparseMatrixBase< Derived > &m, int colStart, int colLength)

template<typename T >
void	scale_jacobian_row (typename roboptim::Problem< T >::jacobian_t &j, typename roboptim::Problem< T >::size_type ri, const typename roboptim::Problem< T >::value_type &s)

template<typename T >
void	scale_jacobian_col (typename roboptim::Problem< T >::jacobian_t &j, typename roboptim::Problem< T >::size_type ci, const typename roboptim::Problem< T >::value_type &s)

template<typename T >
std::ostream &	impl_print (std::ostream &o, Eigen::Ref< T > t)

template<typename T >
std::ostream &	impl_print (std::ostream &o, const T *t)

template<typename T >
std::ostream &	impl_print (std::ostream &o, const T &t)

template<typename T >
void	StateParameterPrint (std::ostream &o, const T &val)
	Print the value of a state parameter. More...

template<>
void	StateParameterPrint< bool > (std::ostream &o, const bool &val)

template<>
void	StateParameterPrint< std::string > (std::ostream &o, const std::string &val)

ROBOPTIM_CORE_DLLAPI void	vector_to_array (Function::value_type *dst, Function::const_vector_ref src)
	ROBOPTIM_HAS_FENV_H. More...

ROBOPTIM_CORE_DLLAPI void	array_to_vector (Function::vector_ref dst, const Function::value_type *src)

template<typename T >
void	jacobian_from_gradients (Function::matrix_ref jac, const std::vector< const T * > &c, Function::const_vector_ref x)

Typedef Documentation

typedef void* roboptim::detail::fenv_t

ROBOPTIM_HAS_FENV_H.

Function Documentation

void roboptim::detail::array_to_vector	(	Function::vector_ref	dst,
		const Function::value_type *	src
	)

template<typename Derived >

Eigen::Block<Derived> roboptim::detail::getBlock	(	Eigen::SparseMatrixBase< Derived > &	m,
		int	colStart,
		int	colLength
	)

Referenced by roboptim::detail::StructuredInputJacobianInternal< FuncType, roboptim::EigenMatrixSparse >::getJacobianBlock().

template<typename T >

std::ostream& roboptim::detail::impl_print	(	std::ostream &	o,
		Eigen::Ref< T >	t
	)

template<typename T >

std::ostream& roboptim::detail::impl_print	(	std::ostream &	o,
		const T *	t
	)

template<typename T >

std::ostream& roboptim::detail::impl_print	(	std::ostream &	o,
		const T &	t
	)

template<typename T >

void roboptim::detail::jacobian_from_gradients	(	Function::matrix_ref	jac,
		const std::vector< const T * > &	c,
		Function::const_vector_ref	x
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	GenericNumericQuadraticFunction< EigenMatrixDense >	,
		GenericQuadraticFunction< EigenMatrixDense >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	GenericNumericQuadraticFunction< EigenMatrixSparse >	,
		GenericQuadraticFunction< EigenMatrixSparse >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	GenericNumericLinearFunction< EigenMatrixDense >	,
		GenericLinearFunction< EigenMatrixDense >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	GenericNumericLinearFunction< EigenMatrixSparse >	,
		GenericLinearFunction< EigenMatrixSparse >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	GenericConstantFunction< EigenMatrixDense >	,
		GenericLinearFunction< EigenMatrixDense >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	GenericConstantFunction< EigenMatrixSparse >	,
		GenericLinearFunction< EigenMatrixSparse >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	GenericIdentityFunction< EigenMatrixDense >	,
		GenericLinearFunction< EigenMatrixDense >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	GenericIdentityFunction< EigenMatrixSparse >	,
		GenericLinearFunction< EigenMatrixSparse >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	Cos< EigenMatrixDense >	,
		GenericDifferentiableFunction< EigenMatrixDense >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	Cos< EigenMatrixSparse >	,
		GenericDifferentiableFunction< EigenMatrixSparse >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	Sin< EigenMatrixDense >	,
		GenericDifferentiableFunction< EigenMatrixDense >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_AUTOPROMOTE	(	Sin< EigenMatrixSparse >	,
		GenericDifferentiableFunction< EigenMatrixSparse >
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_PRECISION	(	GenericFunction< EigenMatrixDense >	,
		1
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_PRECISION	(	GenericFunction< EigenMatrixSparse >	,
		1
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_PRECISION	(	GenericDifferentiableFunction< EigenMatrixDense >	,
		2
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_PRECISION	(	GenericDifferentiableFunction< EigenMatrixSparse >	,
		2
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_PRECISION	(	GenericTwiceDifferentiableFunction< EigenMatrixDense >	,
		3
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_PRECISION	(	GenericTwiceDifferentiableFunction< EigenMatrixSparse >	,
		3
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_PRECISION	(	GenericQuadraticFunction< EigenMatrixDense >	,
		3
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_PRECISION	(	GenericQuadraticFunction< EigenMatrixSparse >	,
		3
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_PRECISION	(	GenericLinearFunction< EigenMatrixDense >	,
		4
	)

roboptim::detail::ROBOPTIM_CORE_DECLARE_PRECISION	(	GenericLinearFunction< EigenMatrixSparse >	,
		4
	)

template<typename T >

void roboptim::detail::scale_jacobian_col	(	typename roboptim::Problem< T >::jacobian_t &	j,
		typename roboptim::Problem< T >::size_type	ci,
		const typename roboptim::Problem< T >::value_type &	s
	)

inline

template<typename T >

void roboptim::detail::scale_jacobian_row	(	typename roboptim::Problem< T >::jacobian_t &	j,
		typename roboptim::Problem< T >::size_type	ri,
		const typename roboptim::Problem< T >::value_type &	s
	)

inline

template<typename T >

void roboptim::detail::StateParameterPrint	(	std::ostream &	o,
		const T &	val
	)

Print the value of a state parameter.

Template Parameters

T	value type.

Parameters

val value.

Returns: string describing the value.

template<>

void roboptim::detail::StateParameterPrint< bool >	(	std::ostream &	o,
		const bool &	val
	)

inline

template<>

void roboptim::detail::StateParameterPrint< std::string >	(	std::ostream &	o,
		const std::string &	val
	)

inline

void roboptim::detail::vector_to_array	(	Function::value_type *	dst,
		Function::const_vector_ref	src
	)

ROBOPTIM_HAS_FENV_H.

Classes

Typedefs

Functions

Typedef Documentation

Function Documentation