Constant function. More...
#include <roboptim/core/fwd.hh>
Public Member Functions | |
| ROBOPTIM_TWICE_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ (GenericLinearFunction< T >) | |
| ROBOPTIM_ADD_FLAG (ROBOPTIM_IS_CONSTANT) | |
| GenericConstantFunction (const_vector_ref offset) | |
| Build a constant function. More... | |
| GenericConstantFunction (size_type input_size, const_vector_ref offset) | |
| Build a constant function. More... | |
| ~GenericConstantFunction () | |
| virtual std::ostream & | print (std::ostream &o) const |
| Display the function on the specified output stream. More... | |
Public Member Functions inherited from roboptim::GenericLinearFunction< T > | |
| 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... | |
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_compute (result_ref result, const_argument_ref) const |
| Function evaluation. More... | |
| void | impl_gradient (gradient_ref gradient, const_argument_ref, size_type=0) const |
| Gradient evaluation. More... | |
| void | impl_jacobian (jacobian_ref jacobian, const_argument_ref) const |
| Jacobian evaluation. More... | |
Protected Member Functions inherited from roboptim::GenericLinearFunction< T > | |
| 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... | |
Constant function.
Implement a constant function using the formula:
\[f(x) = offset\]
where \(offset\) is set when the class is instantiated.
|
inline |
Build a constant function.
| offset | constant function offset |
|
inline |
Build a constant function.
| input_size | input size of the function |
| offset | constant function offset |
|
inline |
|
inlineprotectedvirtual |
Function evaluation.
Evaluate the function, has to be implemented in concrete classes.
| result | result will be stored in this vector |
| argument | point at which the function will be evaluated |
Implements roboptim::GenericFunction< T >.
|
inlineprotectedvirtual |
Gradient evaluation.
Compute the gradient, has to be implemented in concrete classes. The gradient is computed for a specific sub-function whose id is passed through the functionId argument.
| gradient | gradient will be stored in this vector |
| argument | point where the gradient will be computed |
| functionId | evaluated function id in the split representation |
Implements roboptim::GenericDifferentiableFunction< T >.
|
inlineprotectedvirtual |
Jacobian evaluation.
Computes the jacobian, can be overridden by concrete classes. The default behavior is to compute the jacobian from the gradient.
| jacobian | jacobian will be store in this argument |
| arg | point where the jacobian will be computed |
Reimplemented from roboptim::GenericDifferentiableFunction< T >.
|
inlinevirtual |
Display the function on the specified output stream.
| o | output stream used for display |
Reimplemented from roboptim::GenericLinearFunction< T >.
References roboptim::decindent(), roboptim::iendl(), and roboptim::incindent().
| roboptim::GenericConstantFunction< T >::ROBOPTIM_ADD_FLAG | ( | ROBOPTIM_IS_CONSTANT | ) |
| roboptim::GenericConstantFunction< T >::ROBOPTIM_TWICE_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ | ( | GenericLinearFunction< T > | ) |