roboptim::DerivableParametrizedFunction< F > Class Template Reference

Parametrized function with parameter derivative available. More...

#include <roboptim/core/derivable-parametrized-function.hh>

Inheritance diagram for roboptim::DerivableParametrizedFunction< F >:
roboptim::ParametrizedFunction< F >

List of all members.

Public Types

typedef F::value_type value_type
 Import value type.
typedef F::size_type size_type
 Import size type.
typedef F::vector_t vector_t
 Import vector type.
typedef F::matrix_t matrix_t
 Import matrix type.
typedef F result_t
 Import result type.
typedef F::argument_t argument_t
 Import argument types.
typedef F::const_argument_ref const_argument_ref
typedef F::gradient_t gradient_t
 Import gradient type.
typedef F::gradient_ref gradient_ref
typedef F::gradient_ref const_gradient_ref
typedef F::jacobian_t jacobian_t
 Import jacobian type.
typedef F::jacobian_ref jacobian_ref
typedef F::const_jacobian_ref const_jacobian_ref
typedef F::jacobianSize_t jacobianSize_t
 Import jacobian size type (pair of values).

Public Member Functions

size_type gradientSize () const
 Return the gradient size.
jacobianSize_t jacobianSize () const
 Return the jacobian size as a pair.
bool isValidGradient (const_gradient_ref gradient) const
 Check if the gradient is valid (check size).
bool isValidJacobian (const_jacobian_ref jacobian) const throw ()
 Check if the jacobian is valid (check sizes).
jacobian_t jacobian (const_argument_ref argument, size_type order=0) const
 Computes the jacobian.
void jacobian (jacobian_ref jacobian, const_argument_ref argument, size_type order=0) const
 Computes the jacobian.
gradient_t gradient (const_argument_ref argument, size_type functionId=0, size_type order=0) const
 Computes the gradient.
void gradient (gradient_ref gradient, const_argument_ref argument, size_type functionId=0, size_type order=0) const
 Computes the gradient.
virtual std::ostream & print (std::ostream &o) const
 Display the function on the specified output stream.

Protected Member Functions

 DerivableParametrizedFunction (size_type inputSize, size_type functionInputSize, size_type functionOutputSize)
 Concrete class constructor should call this constructor.
virtual void impl_jacobian (jacobian_ref jacobian, const_argument_ref arg, size_type order=0) const
 Jacobian evaluation.
virtual void impl_gradient (gradient_ref gradient, const_argument_ref argument, size_type functionId=0, size_type order=0) const =0
 Gradient evaluation.

Detailed Description

template<typename F>
class roboptim::DerivableParametrizedFunction< F >

Parametrized function with parameter derivative available.

Depending on inner function type, this class allows computation of parameter derivative or combined parameter/function derivative.

Template Parameters:
Finner function type.

Member Typedef Documentation

template<typename F >
typedef F::argument_t roboptim::DerivableParametrizedFunction< F >::argument_t

Import argument types.

Reimplemented from roboptim::ParametrizedFunction< F >.

template<typename F >
typedef F::const_argument_ref roboptim::DerivableParametrizedFunction< F >::const_argument_ref
template<typename F >
typedef F::gradient_ref roboptim::DerivableParametrizedFunction< F >::const_gradient_ref
template<typename F >
typedef F::const_jacobian_ref roboptim::DerivableParametrizedFunction< F >::const_jacobian_ref
template<typename F >
typedef F::gradient_ref roboptim::DerivableParametrizedFunction< F >::gradient_ref
template<typename F >
typedef F::gradient_t roboptim::DerivableParametrizedFunction< F >::gradient_t

Import gradient type.

template<typename F >
typedef F::jacobian_ref roboptim::DerivableParametrizedFunction< F >::jacobian_ref
template<typename F >
typedef F::jacobian_t roboptim::DerivableParametrizedFunction< F >::jacobian_t

Import jacobian type.

template<typename F >
typedef F::jacobianSize_t roboptim::DerivableParametrizedFunction< F >::jacobianSize_t

Import jacobian size type (pair of values).

template<typename F >
typedef F::matrix_t roboptim::DerivableParametrizedFunction< F >::matrix_t

Import matrix type.

Reimplemented from roboptim::ParametrizedFunction< F >.

template<typename F >
typedef F roboptim::DerivableParametrizedFunction< F >::result_t

Import result type.

Reimplemented from roboptim::ParametrizedFunction< F >.

template<typename F >
typedef F::size_type roboptim::DerivableParametrizedFunction< F >::size_type

Import size type.

Reimplemented from roboptim::ParametrizedFunction< F >.

template<typename F >
typedef F::value_type roboptim::DerivableParametrizedFunction< F >::value_type

Import value type.

Reimplemented from roboptim::ParametrizedFunction< F >.

template<typename F >
typedef F::vector_t roboptim::DerivableParametrizedFunction< F >::vector_t

Import vector type.

Reimplemented from roboptim::ParametrizedFunction< F >.


Constructor & Destructor Documentation

template<typename F >
roboptim::DerivableParametrizedFunction< F >::DerivableParametrizedFunction ( size_type  inputSize,
size_type  functionInputSize,
size_type  functionOutputSize 
) [inline, protected]

Concrete class constructor should call this constructor.

Parameters:
inputSizeparameter size
functionInputSizeinner function argument size
functionOutputSizeinner function result size

Member Function Documentation

template<typename F >
gradient_t roboptim::DerivableParametrizedFunction< F >::gradient ( const_argument_ref  argument,
size_type  functionId = 0,
size_type  order = 0 
) const [inline]

Computes the gradient.

Parameters:
argumentinner function argument value
functionIdfunction id in split representation
orderderivation order
Returns:
gradient vector

References roboptim::DerivableParametrizedFunction< F >::gradientSize().

Referenced by roboptim::DerivableParametrizedFunction< F >::impl_jacobian().

template<typename F >
void roboptim::DerivableParametrizedFunction< F >::gradient ( gradient_ref  gradient,
const_argument_ref  argument,
size_type  functionId = 0,
size_type  order = 0 
) const [inline]

Computes the gradient.

Program will abort if the gradient size is wrong before or after the gradient computation.

Parameters:
gradientgradient will be stored in this argument
argumentinner function point argument value
functionIdfunction id in split representation
orderderivation order
Returns:
gradient vector

References roboptim::DerivableParametrizedFunction< F >::impl_gradient(), roboptim::ParametrizedFunction< F >::inputSize(), and roboptim::DerivableParametrizedFunction< F >::isValidGradient().

template<typename F >
size_type roboptim::DerivableParametrizedFunction< F >::gradientSize ( ) const [inline]
template<typename F >
virtual void roboptim::DerivableParametrizedFunction< F >::impl_gradient ( gradient_ref  gradient,
const_argument_ref  argument,
size_type  functionId = 0,
size_type  order = 0 
) const [protected, pure virtual]

Gradient evaluation.

Compute the gradient, has to be implemented in concrete classes. The gradient is computed for a specific sub-function which id is passed through the functionId argument.

Warning:
Do not call this function directly, call gradient instead.
Parameters:
gradientgradient will be store in this argument
argumentinner function point argument value
functionIdevaluated function id in the split representation
orderderivation order

Referenced by roboptim::DerivableParametrizedFunction< F >::gradient().

template<typename F >
virtual void roboptim::DerivableParametrizedFunction< F >::impl_jacobian ( jacobian_ref  jacobian,
const_argument_ref  arg,
size_type  order = 0 
) const [inline, protected, virtual]

Jacobian evaluation.

Computes the jacobian, can be overridden by concrete classes. The default behavior is to compute the jacobian from the gradient.

Warning:
Do not call this function directly, call jacobian instead.
Parameters:
jacobianjacobian will be store in this argument
argpoint where the jacobian will be computed
orderderivation order

References roboptim::ParametrizedFunction< F >::functionOutputSize(), roboptim::DerivableParametrizedFunction< F >::gradient(), and roboptim::ParametrizedFunction< F >::inputSize().

Referenced by roboptim::DerivableParametrizedFunction< F >::jacobian().

template<typename F >
bool roboptim::DerivableParametrizedFunction< F >::isValidGradient ( const_gradient_ref  gradient) const [inline]

Check if the gradient is valid (check size).

Parameters:
gradientchecked gradient
Returns:
true if valid, false if not

References roboptim::DerivableParametrizedFunction< F >::gradientSize().

Referenced by roboptim::DerivableParametrizedFunction< F >::gradient().

template<typename F >
bool roboptim::DerivableParametrizedFunction< F >::isValidJacobian ( const_jacobian_ref  jacobian) const throw () [inline]

Check if the jacobian is valid (check sizes).

Parameters:
jacobianchecked jacobian
Returns:
true if valid, false if not

References roboptim::DerivableParametrizedFunction< F >::jacobian(), and roboptim::DerivableParametrizedFunction< F >::jacobianSize().

Referenced by roboptim::DerivableParametrizedFunction< F >::jacobian().

template<typename F >
jacobian_t roboptim::DerivableParametrizedFunction< F >::jacobian ( const_argument_ref  argument,
size_type  order = 0 
) const [inline]

Computes the jacobian.

Parameters:
argumentpoint at which the jacobian will be computed
orderderivation order
Returns:
jacobian matrix

References roboptim::DerivableParametrizedFunction< F >::jacobianSize().

Referenced by roboptim::DerivableParametrizedFunction< F >::isValidJacobian().

template<typename F >
void roboptim::DerivableParametrizedFunction< F >::jacobian ( jacobian_ref  jacobian,
const_argument_ref  argument,
size_type  order = 0 
) const [inline]

Computes the jacobian.

Program will abort if the jacobian size is wrong before or after the jacobian computation.

Parameters:
jacobianjacobian will be stored in this argument
orderderivation order
argumentinner function point argument value

References roboptim::DerivableParametrizedFunction< F >::impl_jacobian(), roboptim::ParametrizedFunction< F >::inputSize(), and roboptim::DerivableParametrizedFunction< F >::isValidJacobian().

template<typename F >
virtual std::ostream& roboptim::DerivableParametrizedFunction< F >::print ( std::ostream &  o) const [inline, virtual]

Display the function on the specified output stream.

Parameters:
ooutput stream used for display
Returns:
output stream

Reimplemented from roboptim::ParametrizedFunction< F >.

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