adaptee_ | roboptim::GenericFiniteDifferenceGradient< T, FdgPolicy > | protected |
column_ | roboptim::finiteDifferenceGradientPolicies::Policy< T > | mutableprotected |
compute_deriv(typename GenericFunction< T >::size_type j, double h, double &result, double &round, double &trunc, typename GenericFunction< T >::const_argument_ref argument, typename GenericFunction< T >::size_type idFunction, typename GenericFunction< T >::argument_ref xEps) const | roboptim::finiteDifferenceGradientPolicies::FivePointsRule< T > | protected |
computeColumn(value_type epsilon, gradient_ref column, const_argument_ref argument, size_type colIdx, argument_ref xEps) const | roboptim::finiteDifferenceGradientPolicies::FivePointsRule< T > | protectedvirtual |
computeColumn(value_type, gradient_ref, const_argument_ref, size_type, argument_ref) const | roboptim::finiteDifferenceGradientPolicies::FivePointsRule< T > | inlineprotectedvirtual |
computeGradient(value_type epsilon, gradient_ref gradient, const_argument_ref argument, size_type idFunction, argument_ref xEps) const | roboptim::finiteDifferenceGradientPolicies::FivePointsRule< T > | protectedvirtual |
computeGradient(value_type epsilon, gradient_ref gradient, const_argument_ref argument, size_type idFunction, argument_ref xEps) const | roboptim::finiteDifferenceGradientPolicies::FivePointsRule< T > | inlineprotectedvirtual |
computeJacobian(value_type epsilon, jacobian_ref jacobian, const_argument_ref argument, argument_ref xEps) const | roboptim::finiteDifferenceGradientPolicies::FivePointsRule< T > | protectedvirtual |
computeJacobian(value_type epsilon, jacobian_ref jacobian, const_argument_ref argument, argument_ref xEps) const | roboptim::finiteDifferenceGradientPolicies::FivePointsRule< T > | inlineprotectedvirtual |
discreteInterval_t typedef | roboptim::GenericFunction< T > | |
epsilon() | roboptim::GenericFunction< T > | inlinestatic |
epsilon_ | roboptim::GenericFiniteDifferenceGradient< T, FdgPolicy > | protected |
FivePointsRule(const GenericFunction< T > &adaptee) | roboptim::finiteDifferenceGradientPolicies::FivePointsRule< T > | inlineexplicitprotected |
foreach(const discreteInterval_t interval, F functor) | roboptim::GenericFunction< T > | inlinestatic |
foreach(const interval_t interval, const size_type n, F functor) | roboptim::GenericFunction< T > | inlinestatic |
GenericDifferentiableFunction(size_type inputSize, size_type outputSize=1, std::string name=std::string()) | roboptim::GenericDifferentiableFunction< T > | protected |
GenericFiniteDifferenceGradient(const GenericFunction< T > &f, value_type e=finiteDifferenceEpsilon) | roboptim::GenericFiniteDifferenceGradient< T, FdgPolicy > | |
GenericFunction(size_type inputSize, size_type outputSize=1, std::string name=std::string()) | roboptim::GenericFunction< T > | protected |
getLowerBound(const interval_t &interval) | roboptim::GenericFunction< T > | inlinestatic |
getLowerBound(const discreteInterval_t &interval) | roboptim::GenericFunction< T > | inlinestatic |
getName() const | roboptim::GenericFunction< T > | inline |
getStep(const discreteInterval_t &interval) | roboptim::GenericFunction< T > | inlinestatic |
getUpperBound(const interval_t &interval) | roboptim::GenericFunction< T > | inlinestatic |
getUpperBound(const discreteInterval_t &interval) | roboptim::GenericFunction< T > | inlinestatic |
gradient(const_argument_ref argument, size_type functionId=0) const | roboptim::GenericDifferentiableFunction< T > | inline |
gradient(gradient_ref gradient, const_argument_ref argument, size_type functionId=0) const | roboptim::GenericDifferentiableFunction< T > | inline |
gradient_ | roboptim::finiteDifferenceGradientPolicies::Policy< T > | mutableprotected |
gradientSize() const | roboptim::GenericDifferentiableFunction< T > | inline |
impl_compute(result_ref, const_argument_ref) const | roboptim::GenericFiniteDifferenceGradient< T, FdgPolicy > | protectedvirtual |
impl_gradient(gradient_ref, const_argument_ref argument, size_type=0) const | roboptim::GenericFiniteDifferenceGradient< T, FdgPolicy > | protectedvirtual |
impl_jacobian(jacobian_ref jacobian, const_argument_ref argument) const | roboptim::GenericFiniteDifferenceGradient< T, FdgPolicy > | protectedvirtual |
infinity() | roboptim::GenericFunction< T > | inlinestatic |
inputSize() const | roboptim::GenericFunction< T > | inline |
interval_t typedef | roboptim::GenericFunction< T > | |
intervals_t typedef | roboptim::GenericFunction< T > | |
isValidGradient(const_gradient_ref gradient) const | roboptim::GenericDifferentiableFunction< T > | inline |
isValidJacobian(const_jacobian_ref jacobian) const | roboptim::GenericDifferentiableFunction< T > | inline |
isValidResult(const_result_ref result) const | roboptim::GenericFunction< T > | inline |
jacobian(const_argument_ref argument) const | roboptim::GenericDifferentiableFunction< T > | inline |
jacobian(jacobian_ref jacobian, const_argument_ref argument) const | roboptim::GenericDifferentiableFunction< T > | inline |
jacobianSize() const | roboptim::GenericDifferentiableFunction< T > | inline |
jacobianSize_t typedef | roboptim::GenericDifferentiableFunction< T > | |
logger | roboptim::GenericFunction< T > | protectedstatic |
makeDiscreteInterval(value_type min, value_type max, value_type step) | roboptim::GenericFunction< T > | inlinestatic |
makeDiscreteInterval(interval_t interval, value_type step) | roboptim::GenericFunction< T > | inlinestatic |
makeInfiniteInterval() | roboptim::GenericFunction< T > | inlinestatic |
makeInterval(value_type l, value_type u) | roboptim::GenericFunction< T > | inlinestatic |
makeLowerInterval(value_type l) | roboptim::GenericFunction< T > | inlinestatic |
makeUpperInterval(value_type u) | roboptim::GenericFunction< T > | inlinestatic |
name_t typedef | roboptim::GenericFunction< T > | |
names_t typedef | roboptim::GenericFunction< T > | |
operator()(const_argument_ref argument) const | roboptim::GenericFunction< T > | inline |
operator()(result_ref result, const_argument_ref argument) const | roboptim::GenericFunction< T > | inline |
outputSize() const | roboptim::GenericFunction< T > | inline |
Policy(const GenericFunction< T > &adaptee) | roboptim::finiteDifferenceGradientPolicies::Policy< T > | inlineexplicitprotected |
print(std::ostream &o) const | roboptim::GenericDifferentiableFunction< T > | virtual |
ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_(GenericDifferentiableFunction< T >) | roboptim::GenericFiniteDifferenceGradient< T, FdgPolicy > | |
ROBOPTIM_FUNCTION_FWD_TYPEDEFS_(GenericFunction< T >) | roboptim::GenericDifferentiableFunction< T > | |
ROBOPTIM_GENERATE_TRAITS_REFS_(gradient) | roboptim::GenericDifferentiableFunction< T > | |
ROBOPTIM_GENERATE_TRAITS_REFS_(jacobian) | roboptim::GenericDifferentiableFunction< T > | |
roboptim::GenericFunction::ROBOPTIM_GENERATE_TRAITS_REFS_(vector) | roboptim::GenericFunction< T > | |
roboptim::GenericFunction::ROBOPTIM_GENERATE_TRAITS_REFS_(rowVector) | roboptim::GenericFunction< T > | |
roboptim::GenericFunction::ROBOPTIM_GENERATE_TRAITS_REFS_(matrix) | roboptim::GenericFunction< T > | |
roboptim::GenericFunction::ROBOPTIM_GENERATE_TRAITS_REFS_(result) | roboptim::GenericFunction< T > | |
roboptim::GenericFunction::ROBOPTIM_GENERATE_TRAITS_REFS_(argument) | roboptim::GenericFunction< T > | |
size_type typedef | roboptim::GenericFunction< T > | |
traits_t typedef | roboptim::GenericFunction< T > | |
value_type typedef | roboptim::GenericFunction< T > | |
xEps_ | roboptim::GenericFiniteDifferenceGradient< T, FdgPolicy > | mutableprotected |
~GenericFiniteDifferenceGradient() | roboptim::GenericFiniteDifferenceGradient< T, FdgPolicy > | |
~GenericFunction() | roboptim::GenericFunction< T > | virtual |
~Policy() | roboptim::finiteDifferenceGradientPolicies::Policy< T > | inlineprotectedvirtual |