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roboptim::GenericLinearFunction< T > Class Template Reference

Define an abstract linear function. More...

#include <roboptim/core/linear-function.hh>

Inheritance diagram for roboptim::GenericLinearFunction< T >:
roboptim::GenericQuadraticFunction< T > roboptim::GenericTwiceDifferentiableFunction< T > roboptim::GenericDifferentiableFunction< T > roboptim::GenericFunction< T > roboptim::GenericConstantFunction< T > roboptim::GenericIdentityFunction< T > roboptim::GenericNumericLinearFunction< T >

Public Member Functions

 ROBOPTIM_TWICE_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ (GenericQuadraticFunction< T >)
 
 ROBOPTIM_ADD_FLAG (ROBOPTIM_IS_LINEAR)
 
 GenericLinearFunction (size_type inputSize, size_type outputSize=1, std::string name=std::string())
 Concrete class constructor should call this constructor. More...
 
virtual std::ostream & print (std::ostream &) const
 Display the function on the specified output stream. More...
 
- Public Member Functions inherited from roboptim::GenericQuadraticFunction< T >
 ROBOPTIM_ADD_FLAG (ROBOPTIM_IS_QUADRATIC)
 
 GenericQuadraticFunction (size_type inputSize, size_type outputSize=1, std::string name=std::string())
 Concrete class constructor should call this constructor. More...
 
- Public Member Functions inherited from roboptim::GenericTwiceDifferentiableFunction< T >
 ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ (GenericDifferentiableFunction< T >)
 
 ROBOPTIM_ADD_FLAG (ROBOPTIM_IS_TWICE_DIFFERENTIABLE)
 
 ROBOPTIM_GENERATE_TRAITS_REFS_ (hessian)
 Hessian type. More...
 
hessianSize_t hessianSize () const
 Return the size of a hessian. More...
 
bool isValidHessian (const_hessian_ref hessian) const
 Check if the hessian is valid (check sizes). More...
 
hessian_t hessian (const_argument_ref argument, size_type functionId=0) const
 Compute the hessian at a given point. More...
 
void hessian (hessian_ref hessian, const_argument_ref argument, size_type functionId=0) const
 Compute the hessian at a given point. More...
 
- Public Member Functions inherited from roboptim::GenericDifferentiableFunction< T >
 ROBOPTIM_FUNCTION_FWD_TYPEDEFS_ (GenericFunction< T >)
 
 ROBOPTIM_ADD_FLAG (ROBOPTIM_IS_DIFFERENTIABLE)
 
 ROBOPTIM_GENERATE_TRAITS_REFS_ (gradient)
 Gradient type. More...
 
 ROBOPTIM_GENERATE_TRAITS_REFS_ (jacobian)
 Jacobian type. More...
 
size_type gradientSize () const
 Return the gradient size. More...
 
jacobianSize_t jacobianSize () const
 Return the jacobian size as a pair. More...
 
bool isValidGradient (const_gradient_ref gradient) const
 Check if the gradient is valid (check size). More...
 
bool isValidJacobian (const_jacobian_ref jacobian) const
 Check if the jacobian is valid (check sizes). More...
 
jacobian_t jacobian (const_argument_ref argument) const
 Computes the jacobian. More...
 
void jacobian (jacobian_ref jacobian, const_argument_ref argument) const
 Computes the jacobian. More...
 
gradient_t gradient (const_argument_ref argument, size_type functionId=0) const
 Computes the gradient. More...
 
void gradient (gradient_ref gradient, const_argument_ref argument, size_type functionId=0) const
 Computes the gradient. More...
 
- Public Member Functions inherited from roboptim::GenericFunction< T >
 ROBOPTIM_DEFINE_FLAG_TYPE ()
 
 ROBOPTIM_GENERATE_TRAITS_REFS_ (vector)
 Basic (column) vector type. More...
 
 ROBOPTIM_GENERATE_TRAITS_REFS_ (rowVector)
 Row vector type. More...
 
 ROBOPTIM_GENERATE_TRAITS_REFS_ (matrix)
 Basic matrix type. More...
 
 ROBOPTIM_GENERATE_TRAITS_REFS_ (result)
 Type of a function evaluation result. More...
 
 ROBOPTIM_GENERATE_TRAITS_REFS_ (argument)
 Type of a function evaluation argument. More...
 
bool isValidResult (const_result_ref result) const
 Check the given result size is valid. More...
 
GenericFunction< T >::size_type inputSize () const
 Return the input size (i.e. More...
 
GenericFunction< T >::size_type outputSize () const
 Return the output size (i.e. More...
 
virtual ~GenericFunction ()
 Trivial destructor. More...
 
result_t operator() (const_argument_ref argument) const
 Evaluate the function at a specified point. More...
 
void operator() (result_ref result, const_argument_ref argument) const
 Evaluate the function at a specified point. More...
 
const std::string & getName () const
 Get function name. More...
 
virtual flag_t getFlags () const
 Get the type-checking flag. More...
 
template<typename F >
void foreach (const discreteInterval_t interval, F functor)
 
template<typename F >
void foreach (const interval_t interval, const size_type n, F functor)
 
template<class ExpectedType >
ExpectedType * castInto (bool check=false)
 Cast function to ExpectedType. More...
 
template<class ExpectedType >
const ExpectedType * castInto (bool check=false) const
 Cast function to ExpectedType (const). More...
 
template<class ExpectedType >
bool asType () const
 Fonction type checking. More...
 

Protected Member Functions

void impl_hessian (hessian_ref hessian, const_argument_ref argument, size_type functionId=0) const
 Hessian evaluation. More...
 

Additional Inherited Members

- Public Types inherited from roboptim::GenericQuadraticFunction< T >
typedef
GenericTwiceDifferentiableFunction
< T > 
parent_t
 
typedef parent_t::size_type size_type
 
- Static Public Member Functions inherited from roboptim::GenericFunction< T >
static value_type epsilon ()
 Get the value of the machine epsilon, useful for floating types comparison. More...
 
static value_type infinity ()
 Get the value that symbolizes positive infinity. More...
 
static interval_t makeInterval (value_type l, value_type u)
 Construct an interval from a lower and upper bound. More...
 
static interval_t makeInfiniteInterval ()
 Construct an infinite interval. More...
 
static interval_t makeLowerInterval (value_type l)
 Construct an interval from a lower bound. More...
 
static interval_t makeUpperInterval (value_type u)
 Construct an interval from an upper bound. More...
 
static value_type getLowerBound (const interval_t &interval)
 Get the lower bound of an interval. More...
 
static value_type getUpperBound (const interval_t &interval)
 Get the upper bound of an interval. More...
 
static discreteInterval_t makeDiscreteInterval (value_type min, value_type max, value_type step)
 Construct a discrete interval. More...
 
static discreteInterval_t makeDiscreteInterval (interval_t interval, value_type step)
 Construct a discrete interval. More...
 
static value_type getLowerBound (const discreteInterval_t &interval)
 Get the lower bound of a discrete interval. More...
 
static value_type getUpperBound (const discreteInterval_t &interval)
 Get the upper bound of a discrete interval. More...
 
static value_type getStep (const discreteInterval_t &interval)
 Get the upper step of a discrete interval. More...
 
template<typename F >
static void foreach (const discreteInterval_t interval, F functor)
 Iterate on an interval. More...
 
template<typename F >
static void foreach (const interval_t interval, const size_type n, F functor)
 Iterate on an interval. More...
 
- Static Public Attributes inherited from roboptim::GenericFunction< T >
static const flag_t flags = ROBOPTIM_IS_FUNCTION
 Flag representing the Roboptim Function type. More...
 

Detailed Description

template<typename T>
class roboptim::GenericLinearFunction< T >

Define an abstract linear function.

Inherit from this class when implementing linear functions.

Examples:
numeric-linear-function.cc.

Constructor & Destructor Documentation

template<typename T >
roboptim::GenericLinearFunction< T >::GenericLinearFunction ( size_type  inputSize,
size_type  outputSize = 1,
std::string  name = std::string () 
)

Concrete class constructor should call this constructor.

Parameters
inputSizefunction arity
outputSizeresult size
namefunction's name

Member Function Documentation

template<typename T >
void roboptim::GenericLinearFunction< T >::impl_hessian ( hessian_ref  hessian,
const_argument_ref  argument,
size_type  functionId = 0 
) const
protectedvirtual

Hessian evaluation.

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

Warning
Do not call this function directly, call hessian instead.
Parameters
hessianhessian will be stored here
argumentpoint where the hessian will be computed
functionIdevaluated function id in the split representation

Implements roboptim::GenericTwiceDifferentiableFunction< T >.

template<typename T >
std::ostream & roboptim::GenericLinearFunction< T >::print ( std::ostream &  o) const
virtual

Display the function on the specified output stream.

Parameters
ooutput stream used for display
Returns
output stream

Reimplemented from roboptim::GenericQuadraticFunction< T >.

Reimplemented in roboptim::GenericConstantFunction< T >, roboptim::GenericNumericLinearFunction< T >, and roboptim::GenericIdentityFunction< T >.

template<typename T>
roboptim::GenericLinearFunction< T >::ROBOPTIM_ADD_FLAG ( ROBOPTIM_IS_LINEAR  )
template<typename T>
roboptim::GenericLinearFunction< T >::ROBOPTIM_TWICE_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ ( GenericQuadraticFunction< T >  )