cache_ | roboptim::CachedFunction< T > | [mutable, protected] |
CachedFunction(boost::shared_ptr< T > fct, size_t size=10) | roboptim::CachedFunction< T > | [explicit] |
cachedFunctionDerivative(gradient_ref derivative, value_type argument, size_type order, typename detail::CachedFunctionTypes< U >::isNTimesDerivable_t::type *=0) const | roboptim::CachedFunction< T > | [protected] |
cachedFunctionDerivative(gradient_ref derivative, value_type argument, size_type order, typename detail::CachedFunctionTypes< U >::isNotNTimesDerivable_t::type *=0) const | roboptim::CachedFunction< T > | [protected] |
cachedFunctionGradient(gradient_ref gradient, const_argument_ref argument, size_type functionId, typename detail::CachedFunctionTypes< U >::isDifferentiable_t::type *=0) const | roboptim::CachedFunction< T > | [protected] |
cachedFunctionGradient(gradient_ref gradient, const_argument_ref argument, size_type functionId, typename detail::CachedFunctionTypes< U >::isNotDifferentiable_t::type *=0) const | roboptim::CachedFunction< T > | [protected] |
cachedFunctionHessian(hessian_ref hessian, const_argument_ref argument, size_type functionId, typename detail::CachedFunctionTypes< U >::isTwiceDifferentiable_t::type *=0) const | roboptim::CachedFunction< T > | [protected] |
cachedFunctionHessian(hessian_ref hessian, const_argument_ref argument, size_type functionId, typename detail::CachedFunctionTypes< U >::isNotTwiceDifferentiable_t::type *=0) const | roboptim::CachedFunction< T > | [protected] |
cachedFunctionJacobian(jacobian_ref jacobian, const_argument_ref argument, typename detail::CachedFunctionTypes< U >::isDifferentiable_t::type *=0) const | roboptim::CachedFunction< T > | [protected] |
cachedFunctionJacobian(jacobian_ref jacobian, const_argument_ref argument, typename detail::CachedFunctionTypes< U >::isNotDifferentiable_t::type *=0) const | roboptim::CachedFunction< T > | [protected] |
cacheKey_t typedef | roboptim::CachedFunction< T > | |
function_ | roboptim::CachedFunction< T > | [protected] |
functionCache_t typedef | roboptim::CachedFunction< T > | |
gradientCache_ | roboptim::CachedFunction< T > | [mutable, protected] |
gradientCache_t typedef | roboptim::CachedFunction< T > | |
hessianCache_ | roboptim::CachedFunction< T > | [mutable, protected] |
hessianCache_t typedef | roboptim::CachedFunction< T > | |
impl_compute(result_ref result, const_argument_ref argument) const | roboptim::CachedFunction< T > | [protected, virtual] |
impl_derivative(gradient_ref derivative, value_type argument, size_type order=1) const | roboptim::CachedFunction< T > | [protected, virtual] |
impl_gradient(gradient_ref gradient, const_argument_ref argument, size_type functionId=0) const | roboptim::CachedFunction< T > | [protected, virtual] |
impl_hessian(hessian_ref hessian, const_argument_ref argument, size_type functionId=0) const | roboptim::CachedFunction< T > | [protected, virtual] |
impl_jacobian(jacobian_ref jacobian, const_argument_ref arg) const | roboptim::CachedFunction< T > | [protected, virtual] |
interval_t typedef | roboptim::CachedFunction< T > | |
jacobianCache_ | roboptim::CachedFunction< T > | [mutable, protected] |
jacobianCache_t typedef | roboptim::CachedFunction< T > | |
reset() | roboptim::CachedFunction< T > | |
ROBOPTIM_TWICE_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_(GenericTwiceDifferentiableFunction< traits_t >) | roboptim::CachedFunction< T > | |
traits_t typedef | roboptim::CachedFunction< T > | |
~CachedFunction() | roboptim::CachedFunction< T > |