Exception thrown when a Jacobian check fails. More...
#include <roboptim/core/decorator/finite-difference-gradient.hh>


Public Member Functions | |
| ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ (GenericDifferentiableFunction< T >) | |
| BadJacobian (const_argument_ref x, const_jacobian_ref analyticalJacobian, const_jacobian_ref finiteDifferenceJacobian, const value_type &threshold) | |
| Default constructor. | |
| virtual | ~BadJacobian () |
| virtual std::ostream & | print (std::ostream &o) const |
| Display the exception on the specified output stream. | |
| BadJacobian (const_argument_ref x, const_jacobian_ref analyticalJacobian, const_jacobian_ref finiteDifferenceJacobian, const value_type &threshold) | |
Public Attributes | |
| argument_t | x_ |
| Jacobian has been computed for this point. | |
| gradient_t | analyticalJacobian_ |
| Analytical Jacobian. | |
| gradient_t | finiteDifferenceJacobian_ |
| Jacobian computed through finite differences. | |
| value_type | maxDelta_ |
| Maximum error. | |
| size_type | maxDeltaRow_ |
| Components containing the maximum error. | |
| size_type | maxDeltaCol_ |
| value_type | threshold_ |
| Allowed threshold. | |
Exception thrown when a Jacobian check fails.
| roboptim::BadJacobian< T >::BadJacobian | ( | const_argument_ref | x, |
| const_jacobian_ref | analyticalJacobian, | ||
| const_jacobian_ref | finiteDifferenceJacobian, | ||
| const value_type & | threshold ) |
Default constructor.
References analyticalJacobian_, finiteDifferenceJacobian_, maxDelta_, maxDeltaCol_, maxDeltaRow_, threshold_, and x_.
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virtual |
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inline |
References analyticalJacobian_, finiteDifferenceJacobian_, maxDelta_, maxDeltaCol_, maxDeltaRow_, threshold_, and x_.
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virtual |
Display the exception on the specified output stream.
| o | output stream used for display |
References analyticalJacobian_, roboptim::decindent(), finiteDifferenceJacobian_, roboptim::iendl(), roboptim::incindent(), maxDelta_, maxDeltaCol_, maxDeltaRow_, threshold_, and x_.
Referenced by roboptim::operator<<().
| roboptim::BadJacobian< T >::ROBOPTIM_DIFFERENTIABLE_FUNCTION_FWD_TYPEDEFS_ | ( | GenericDifferentiableFunction< T > | ) |
| gradient_t roboptim::BadJacobian< T >::analyticalJacobian_ |
Analytical Jacobian.
Referenced by BadJacobian(), and print().
| gradient_t roboptim::BadJacobian< T >::finiteDifferenceJacobian_ |
Jacobian computed through finite differences.
Referenced by BadJacobian(), and print().
| value_type roboptim::BadJacobian< T >::maxDelta_ |
Maximum error.
Referenced by BadJacobian(), and print().
| size_type roboptim::BadJacobian< T >::maxDeltaCol_ |
Referenced by BadJacobian(), and print().
| size_type roboptim::BadJacobian< T >::maxDeltaRow_ |
Components containing the maximum error.
Referenced by BadJacobian(), and print().
| value_type roboptim::BadJacobian< T >::threshold_ |
Allowed threshold.
Referenced by BadJacobian(), and print().
| argument_t roboptim::BadJacobian< T >::x_ |
Jacobian has been computed for this point.
Referenced by BadJacobian(), and print().