Inheritance diagram for Test:
Collaboration diagram for Test:
Public Member Functions | |
| Tensor< double > | gradient (const Tensor< double > &x) |
| Should return the derivative of the function. | |
| Tensor< double > | gradient (const Tensor< double > &x) |
| Should return the derivative of the function. | |
| bool | provides_gradient () const |
| Override this to return true if the derivative is implemented. | |
| bool | provides_gradient () const |
| Override this to return true if the derivative is implemented. | |
| double | value (const Tensor< double > &x) |
| Should return the value of the objective function. | |
| double | value (const Tensor< double > &x) |
| Should return the value of the objective function. | |
 Public Member Functions inherited from madness::OptimizationTargetInterface | |
| virtual | ~OptimizationTargetInterface () |
| double | test_gradient (Tensor< double > &x, double value_precision, bool doprint=true) |
| Numerical test of the derivative ... optionally prints to stdout, returns max abs error. | |
| virtual void | value_and_gradient (const Tensor< double > &x, double &value, Tensor< double > &gradient) |
| Reimplement if more efficient to evaluate both value and gradient in one call. | |
Member Function Documentation
◆ gradient() [1/2]
Should return the derivative of the function.
Reimplemented from madness::OptimizationTargetInterface.
◆ gradient() [2/2]
Should return the derivative of the function.
Reimplemented from madness::OptimizationTargetInterface.
◆ provides_gradient() [1/2]
|
inlinevirtual |
Override this to return true if the derivative is implemented.
Reimplemented from madness::OptimizationTargetInterface.
◆ provides_gradient() [2/2]
|
inlinevirtual |
Override this to return true if the derivative is implemented.
Reimplemented from madness::OptimizationTargetInterface.
◆ value() [1/2]
Should return the value of the objective function.
Implements madness::OptimizationTargetInterface.
References madness::Tensor< T >::sumsq().
◆ value() [2/2]
Should return the value of the objective function.
Implements madness::OptimizationTargetInterface.
References madness::Tensor< T >::sumsq().
The documentation for this struct was generated from the following files:
