adaptee_ | roboptim::FiniteDifferenceGradient< FdgPolicy > | protected |
argument_t typedef | roboptim::Function | |
DerivableFunction(size_type inputSize, size_type outputSize=1, std::string name=std::string()) | roboptim::DerivableFunction | protected |
discreteInterval_t typedef | roboptim::Function | |
epsilon_ | roboptim::FiniteDifferenceGradient< FdgPolicy > | protected |
FiniteDifferenceGradient(const Function &f, value_type e=finiteDifferenceEpsilon) | roboptim::FiniteDifferenceGradient< FdgPolicy > | |
foreach(const discreteInterval_t interval, F functor) | roboptim::Function | inlinestatic |
foreach(const interval_t interval, const size_type n, F functor) | roboptim::Function | inlinestatic |
Function(size_type inputSize, size_type outputSize=1, std::string name=std::string()) | roboptim::Function | protected |
getLowerBound(const interval_t &interval) | roboptim::Function | inlinestatic |
getLowerBound(const discreteInterval_t &interval) | roboptim::Function | inlinestatic |
getName() const | roboptim::Function | inline |
getStep(const discreteInterval_t &interval) | roboptim::Function | inlinestatic |
getUpperBound(const interval_t &interval) | roboptim::Function | inlinestatic |
getUpperBound(const discreteInterval_t &interval) | roboptim::Function | inlinestatic |
gradient(const argument_t &argument, size_type functionId=0) const | roboptim::DerivableFunction | inline |
gradient(gradient_t &gradient, const argument_t &argument, size_type functionId=0) const | roboptim::DerivableFunction | inline |
gradient_t typedef | roboptim::DerivableFunction | |
gradientSize() const | roboptim::DerivableFunction | inline |
impl_compute(result_t &, const argument_t &) const | roboptim::FiniteDifferenceGradient< FdgPolicy > | protectedvirtual |
impl_gradient(gradient_t &, const argument_t &argument, size_type=0) const | roboptim::FiniteDifferenceGradient< FdgPolicy > | protectedvirtual |
impl_jacobian(jacobian_t &jacobian, const argument_t &arg) const | roboptim::DerivableFunction | protectedvirtual |
infinity() | roboptim::Function | inlinestatic |
inputSize() const | roboptim::Function | inline |
interval_t typedef | roboptim::Function | |
intervals_t typedef | roboptim::Function | |
isValidGradient(const gradient_t &gradient) const | roboptim::DerivableFunction | inline |
isValidJacobian(const jacobian_t &jacobian) const | roboptim::DerivableFunction | inline |
isValidResult(const result_t &result) const | roboptim::Function | inline |
jacobian(const argument_t &argument) const | roboptim::DerivableFunction | inline |
jacobian(jacobian_t &jacobian, const argument_t &argument) const | roboptim::DerivableFunction | inline |
jacobian_t typedef | roboptim::DerivableFunction | |
jacobianSize() const | roboptim::DerivableFunction | inline |
jacobianSize_t typedef | roboptim::DerivableFunction | |
makeDiscreteInterval(value_type min, value_type max, value_type step) | roboptim::Function | inlinestatic |
makeDiscreteInterval(interval_t interval, value_type step) | roboptim::Function | inlinestatic |
makeInfiniteInterval() | roboptim::Function | inlinestatic |
makeInterval(value_type l, value_type u) | roboptim::Function | inlinestatic |
makeLowerInterval(value_type l) | roboptim::Function | inlinestatic |
makeUpperInterval(value_type u) | roboptim::Function | inlinestatic |
matrix_t typedef | roboptim::Function | |
operator()(const argument_t &argument) const | roboptim::Function | inline |
operator()(result_t &result, const argument_t &argument) const | roboptim::Function | inline |
outputSize() const | roboptim::Function | inline |
print(std::ostream &o) const | roboptim::DerivableFunction | virtual |
result_t typedef | roboptim::Function | |
size_type typedef | roboptim::Function | |
value_type typedef | roboptim::Function | |
vector_t typedef | roboptim::Function | |
~FiniteDifferenceGradient() | roboptim::FiniteDifferenceGradient< FdgPolicy > | |
~Function() | roboptim::Function | virtual |