Mathematical abstract functions

Classes
class	roboptim::DerivableParametrizedFunction< F >
	Parametrized function with parameter derivative available. More...
class	roboptim::GenericDifferentiableFunction< T >
	Define an abstract derivable function ( \(C^1\)). More...
class	roboptim::FunctionPool< F, FLIST >
	A pool of functions that will be processed together. More...
struct	roboptim::GenericFunctionTraits< T >
	GenericFunction traits. More...
class	roboptim::GenericFunction< T >
	Define an abstract mathematical function ( \(C^0\)). More...
struct	roboptim::GenericFunctionTraits< EigenMatrixDense >
	Trait specializing GenericFunction for Eigen dense matrices. More...
struct	roboptim::GenericFunctionTraits< EigenMatrixSparse >
	Trait specializing GenericFunction for Eigen sparse matrices. More...
class	roboptim::GenericLinearFunction< T >
	Define an abstract linear function. More...
class	roboptim::ParametrizedFunction< F >
	Define an abstract parametrized mathematical function ( \(C^0\)). More...
class	roboptim::GenericQuadraticFunction< T >
	Define an abstract quadratic function. More...
class	roboptim::GenericSumOfC1Squares< T >
	Generic sum of the squares of differentiable functions. More...
class	roboptim::GenericTwiceDifferentiableFunction< T >
	Define an abstract function which is twice-derivable ( \(C^2\)). More...
Typedefs
typedef GenericSumOfC1Squares < EigenMatrixDense >	roboptim::SumOfC1Squares
	Sum of the squares of dense differentiable functions.
typedef GenericSumOfC1Squares < EigenMatrixSparse >	roboptim::SumOfC1SquaresSparse
	Sum of the squares of sparse differentiable functions.
Enumerations
enum	roboptim::FunctionFlag {   roboptim::ROBOPTIM_IS_FUNCTION = 1 << 0,   roboptim::ROBOPTIM_IS_DIFFERENTIABLE = 1 << 1,   roboptim::ROBOPTIM_IS_TWICE_DIFFERENTIABLE = 1 << 2,   roboptim::ROBOPTIM_IS_QUADRATIC = 1 << 3,   roboptim::ROBOPTIM_IS_NUMERIC_QUADRATIC = 1 << 4,   roboptim::ROBOPTIM_IS_LINEAR = 1 << 5,   roboptim::ROBOPTIM_IS_NUMERIC_LINEAR = 1 << 6,   roboptim::ROBOPTIM_IS_POLYNOMIAL = 1 << 7,   roboptim::ROBOPTIM_IS_CONSTANT = 1 << 8 }
	Bit flags describing the type of function. More...
Variables
static const int	roboptim::StorageOrder = Eigen::ROBOPTIM_STORAGE_ORDER
	Default matrix storage order.
static log4cxx::LoggerPtr	roboptim::GenericFunction< T >::logger
	Pointer to function logger (see log4cxx documentation).

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Typedef Documentation

typedef GenericSumOfC1Squares<EigenMatrixDense> roboptim::SumOfC1Squares

Sum of the squares of dense differentiable functions.

See also:

GenericSumOfC1Squares

typedef GenericSumOfC1Squares<EigenMatrixSparse> roboptim::SumOfC1SquaresSparse

Sum of the squares of sparse differentiable functions.

See also:

GenericSumOfC1Squares

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Enumeration Type Documentation

enum roboptim::FunctionFlag

Bit flags describing the type of function.

Enumerator:

ROBOPTIM_IS_FUNCTION
ROBOPTIM_IS_DIFFERENTIABLE
ROBOPTIM_IS_TWICE_DIFFERENTIABLE
ROBOPTIM_IS_QUADRATIC
ROBOPTIM_IS_NUMERIC_QUADRATIC
ROBOPTIM_IS_LINEAR
ROBOPTIM_IS_NUMERIC_LINEAR
ROBOPTIM_IS_POLYNOMIAL
ROBOPTIM_IS_CONSTANT

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Variable Documentation

template<typename T>

log4cxx::LoggerPtr roboptim::GenericFunction< T >::logger [static, protected]

Pointer to function logger (see log4cxx documentation).

Referenced by roboptim::GenericDifferentiableFunction< T >::gradient(), roboptim::GenericTwiceDifferentiableFunction< T >::hessian(), and roboptim::GenericDifferentiableFunction< T >::jacobian().

const int roboptim::StorageOrder = Eigen::ROBOPTIM_STORAGE_ORDER [static]

Default matrix storage order.

Referenced by roboptim::visualization::matplotlib::detail::sparse_matrix_to_matplotlib().