Fast finite difference gradient computation. More...
#include <roboptim/core/finite-difference-gradient.hh>
Public Member Functions | |
| ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ (GenericDifferentiableFunction< T >) | |
| Simple (const GenericFunction< T > &adaptee) | |
| void | computeGradient (value_type epsilon, gradient_ref gradient, const_argument_ref argument, size_type idFunction, argument_ref xEps) const |
| template<> | |
| void | computeGradient (value_type epsilon, gradient_ref gradient, const_argument_ref argument, size_type idFunction, argument_ref xEps) const |
Fast finite difference gradient computation.
Finite difference is computed using forward difference.
| roboptim::finiteDifferenceGradientPolicies::Simple< T >::Simple | ( | const GenericFunction< T > & | adaptee | ) | [inline, explicit] |
| void roboptim::finiteDifferenceGradientPolicies::Simple< T >::computeGradient | ( | value_type | epsilon, |
| gradient_ref | gradient, | ||
| const_argument_ref | argument, | ||
| size_type | idFunction, | ||
| argument_ref | xEps | ||
| ) | const [virtual] |
Implements roboptim::finiteDifferenceGradientPolicies::Policy< T >.
References roboptim::GenericFunction< T >::inputSize(), and result_.
| void roboptim::finiteDifferenceGradientPolicies::Simple< EigenMatrixSparse >::computeGradient | ( | value_type | epsilon, |
| gradient_ref | gradient, | ||
| const_argument_ref | argument, | ||
| size_type | idFunction, | ||
| argument_ref | xEps | ||
| ) | const [inline, virtual] |
Implements roboptim::finiteDifferenceGradientPolicies::Policy< T >.
References roboptim::GenericFunction< T >::inputSize(), and result_.
| roboptim::finiteDifferenceGradientPolicies::Simple< T >::ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ | ( | GenericDifferentiableFunction< T > | ) |
Reimplemented from roboptim::finiteDifferenceGradientPolicies::Policy< T >.