Exception thrown when a gradient check fails. More...
#include <roboptim/core/decorator/finite-difference-gradient.hh>
Public Member Functions | |
| ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ (GenericDifferentiableFunction< T >) | |
| BadGradient (const_argument_ref x, const_gradient_ref analyticalGradient, const_gradient_ref finiteDifferenceGradient, const value_type &threshold) | |
| Default constructor. More... | |
| virtual | ~BadGradient () throw () |
| virtual std::ostream & | print (std::ostream &o) const |
| Display the exception on the specified output stream. More... | |
| template<> | |
| BadGradient (const_argument_ref x, const_gradient_ref analyticalGradient, const_gradient_ref finiteDifferenceGradient, const value_type &threshold) | |
Public Attributes | |
| argument_t | x_ |
| Gradient has been computed for this point. More... | |
| gradient_t | analyticalGradient_ |
| Analytical gradient. More... | |
| gradient_t | finiteDifferenceGradient_ |
| Gradient computed through finite differences. More... | |
| value_type | maxDelta_ |
| Maximum error. More... | |
| size_type | maxDeltaComponent_ |
| Component containing the maximum error. More... | |
| value_type | threshold_ |
| Allowed threshold. More... | |
Exception thrown when a gradient check fails.
| roboptim::BadGradient< T >::BadGradient | ( | const_argument_ref | x, |
| const_gradient_ref | analyticalGradient, | ||
| const_gradient_ref | finiteDifferenceGradient, | ||
| const value_type & | threshold | ||
| ) |
Default constructor.
References roboptim::BadGradient< T >::maxDelta_, and roboptim::BadGradient< T >::maxDeltaComponent_.
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virtual |
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inline |
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virtual |
Display the exception on the specified output stream.
| o | output stream used for display |
References roboptim::decindent(), roboptim::iendl(), roboptim::incindent(), roboptim::toDense(), and x_.
| roboptim::BadGradient< T >::ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ | ( | GenericDifferentiableFunction< T > | ) |
| gradient_t roboptim::BadGradient< T >::analyticalGradient_ |
Analytical gradient.
| gradient_t roboptim::BadGradient< T >::finiteDifferenceGradient_ |
Gradient computed through finite differences.
| value_type roboptim::BadGradient< T >::maxDelta_ |
Maximum error.
Referenced by roboptim::BadGradient< T >::BadGradient().
| size_type roboptim::BadGradient< T >::maxDeltaComponent_ |
Component containing the maximum error.
Referenced by roboptim::BadGradient< T >::BadGradient().
| value_type roboptim::BadGradient< T >::threshold_ |
Allowed threshold.
| argument_t roboptim::BadGradient< T >::x_ |
Gradient has been computed for this point.