roboptim::LinearFunction Class Reference

Define an abstract linear function. More...

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

+ Inheritance diagram for roboptim::LinearFunction:

Public Member Functions

 LinearFunction (size_type inputSize, size_type outputSize=1, std::string name=std::string()) throw ()
 Concrete class constructor should call this constructor. More...
 
virtual std::ostream & print (std::ostream &) const throw ()
 Display the function on the specified output stream. More...
 
- Public Member Functions inherited from roboptim::QuadraticFunction
 QuadraticFunction (size_type inputSize, size_type outputSize=1, std::string name=std::string()) throw ()
 Concrete class constructor should call this constructor. More...
 
- Public Member Functions inherited from roboptim::TwiceDerivableFunction
hessianSize_t hessianSize () const throw ()
 Return the size of a hessian. More...
 
bool isValidHessian (const hessian_t &hessian) const throw ()
 Check if the hessian is valid (check sizes). More...
 
hessian_t hessian (const argument_t &argument, size_type functionId=0) const throw ()
 Compute the hessian at a given point. More...
 
void hessian (hessian_t &hessian, const argument_t &argument, size_type functionId=0) const throw ()
 Compute the hessian at a given point. More...
 
- Public Member Functions inherited from roboptim::DerivableFunction
size_type gradientSize () const throw ()
 Return the gradient size. More...
 
jacobianSize_t jacobianSize () const throw ()
 Return the jacobian size as a pair. More...
 
bool isValidGradient (const gradient_t &gradient) const throw ()
 Check if the gradient is valid (check size). More...
 
bool isValidJacobian (const jacobian_t &jacobian) const throw ()
 Check if the jacobian is valid (check sizes). More...
 
jacobian_t jacobian (const argument_t &argument) const throw ()
 Computes the jacobian. More...
 
void jacobian (jacobian_t &jacobian, const argument_t &argument) const throw ()
 Computes the jacobian. More...
 
gradient_t gradient (const argument_t &argument, size_type functionId=0) const throw ()
 Computes the gradient. More...
 
void gradient (gradient_t &gradient, const argument_t &argument, size_type functionId=0) const throw ()
 Computes the gradient. More...
 
- Public Member Functions inherited from roboptim::Function
bool isValidResult (const result_t &result) const throw ()
 Check the given result size is valid. More...
 
size_type inputSize () const throw ()
 Return the input size (i.e. argument's vector size). More...
 
size_type outputSize () const throw ()
 Return the output size (i.e. result's vector size). More...
 
virtual ~Function () throw ()
 Trivial destructor. More...
 
result_t operator() (const argument_t &argument) const throw ()
 Evaluate the function at a specified point. More...
 
void operator() (result_t &result, const argument_t &argument) const throw ()
 Evaluate the function at a specified point. More...
 
const std::string & getName () const throw ()
 Get function name. More...
 

Protected Member Functions

void impl_hessian (hessian_t &hessian, const argument_t &argument, size_type functionId=0) const throw ()
 Hessian evaluation. More...
 
- Protected Member Functions inherited from roboptim::TwiceDerivableFunction
 TwiceDerivableFunction (size_type inputSize, size_type outputSize=1, std::string name=std::string()) throw ()
 Concrete class constructor should call this constructor. More...
 
- Protected Member Functions inherited from roboptim::DerivableFunction
 DerivableFunction (size_type inputSize, size_type outputSize=1, std::string name=std::string()) throw ()
 Concrete class constructor should call this constructor. More...
 
virtual void impl_jacobian (jacobian_t &jacobian, const argument_t &arg) const throw ()
 Jacobian evaluation. More...
 
virtual void impl_gradient (gradient_t &gradient, const argument_t &argument, size_type functionId=0) const =0 throw ()
 Gradient evaluation. More...
 
- Protected Member Functions inherited from roboptim::Function
 Function (size_type inputSize, size_type outputSize=1, std::string name=std::string()) throw ()
 Concrete class constructor should call this constructor. More...
 
virtual void impl_compute (result_t &result, const argument_t &argument) const =0 throw ()
 Function evaluation. More...
 

Additional Inherited Members

- Public Types inherited from roboptim::TwiceDerivableFunction
typedef
ublas::symmetric_matrix
< value_type, ublas::lower > 
hessian_t
 Hessian type. More...
 
typedef std::pair< size_type,
size_type
hessianSize_t
 Hessian size type represented as a pair of values. More...
 
- Public Types inherited from roboptim::DerivableFunction
typedef vector_t gradient_t
 Gradient type. More...
 
typedef matrix_t jacobian_t
 Jacobian type. More...
 
typedef std::pair< value_type,
value_type
jacobianSize_t
 Jacobian size type (pair of values). More...
 
- Public Types inherited from roboptim::Function
typedef double value_type
 Values type. More...
 
typedef std::size_t size_type
 Size type. More...
 
typedef ublas::vector< value_typevector_t
 Basic vector type. More...
 
typedef ublas::matrix< value_typematrix_t
 Basic matrix type. More...
 
typedef vector_t result_t
 Type of a function evaluation result. More...
 
typedef vector_t argument_t
 Type of a function evaluation argument. More...
 
typedef std::pair< value_type,
value_type
interval_t
 Interval type (lower, upper). Use negative or positive infinity to respectively disable the lower or upper bound. More...
 
typedef std::vector< interval_tintervals_t
 Vector of intervals. More...
 
typedef boost::tuple
< value_type, value_type,
value_type
discreteInterval_t
 Types representing a discrete interval. A discrete interval is a triplet of values: More...
 
- Static Public Member Functions inherited from roboptim::Function
static const value_type infinity () throw ()
 Get the value that symbolizes positive infinity. More...
 
static interval_t makeInterval (value_type l, value_type u) throw ()
 Construct an interval from a lower and upper bound. More...
 
static interval_t makeInfiniteInterval () throw ()
 Construct an infinite interval. More...
 
static interval_t makeLowerInterval (value_type l) throw ()
 Construct an interval from a lower bound. More...
 
static interval_t makeUpperInterval (value_type u) throw ()
 Construct an interval from an upper bound. More...
 
static double getLowerBound (const interval_t &interval) throw ()
 Get the lower bound of an interval. More...
 
static double getUpperBound (const interval_t &interval) throw ()
 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 double getLowerBound (const discreteInterval_t &interval) throw ()
 Get the lower bound of a discrete interval. More...
 
static double getUpperBound (const discreteInterval_t &interval) throw ()
 Get the upper bound of a discrete interval. More...
 
static double getStep (const discreteInterval_t &interval) throw ()
 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...
 

Detailed Description

Define an abstract linear function.

Inherit from this class when implementing linear functions.

Constructor & Destructor Documentation

roboptim::LinearFunction::LinearFunction ( size_type  inputSize,
size_type  outputSize = 1,
std::string  name = std::string () 
)
throw (
)

Concrete class constructor should call this constructor.

Parameters
inputSizefunction arity
outputSizeresult size
namefunction's name

Member Function Documentation

void roboptim::LinearFunction::impl_hessian ( hessian_t hessian,
const argument_t argument,
size_type  functionId = 0 
) const
throw (
)
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::TwiceDerivableFunction.

std::ostream & roboptim::LinearFunction::print ( std::ostream &  o) const
throw (
)
virtual

Display the function on the specified output stream.

Parameters
ooutput stream used for display
Returns
output stream

Reimplemented from roboptim::QuadraticFunction.

Reimplemented in roboptim::NumericLinearFunction, roboptim::ConstantFunction, and roboptim::IdentityFunction.