DakotaROLObjectiveGrad Class Reference

Inheritance diagram for DakotaROLObjectiveGrad:

Public Member Functions
	DakotaROLObjectiveGrad (Model &model)
	Constructor. More...
virtual	~DakotaROLObjectiveGrad ()
	Destructor.
void	gradient (std::vector< Real > &g, const std::vector< Real > &x, Real &tol) override
	Function to return the response gradient to ROL.
Public Member Functions inherited from DakotaROLObjective
	DakotaROLObjective (Model &model)
	Constructor. More...
Real	value (const std::vector< Real > &x, Real &tol) override
	Function to return the objective value (response) to ROL.

Additional Inherited Members
Public Attributes inherited from DakotaROLObjective
Model &	dakotaModel
	Dakota problem data provided by user.

Detailed Description

DakotaROLObjectiveGrad is derived from DakotaROLObjective. It implements overrides of ROL member functions to provide a Dakota-specific Gradient support for the objective function. This separate class is needed to allow for the option of utilizing ROL's finite-differenced gradients

Constructor & Destructor Documentation

DakotaROLObjectiveGrad()

DakotaROLObjectiveGrad

(

Model &

model

)

Constructor.

Implementation of the DakotaROLObjectiveGrad class.

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The documentation for this class was generated from the following files:

• ROLOptimizer.hpp
• ROLOptimizer.cpp