ROLTraits Class Reference

Inheritance diagram for ROLTraits:

Public Types
typedef std::vector< Real >	VecT
	ROL default data type to be used by Dakota data adapters.

Public Member Functions
	ROLTraits ()
	Default constructor.
virtual	~ROLTraits ()
	Destructor.
bool	supports_continuous_variables ()
	Return flag indicating ROL supports continuous variables.
bool	supports_linear_equality ()
	Return flag indicating ROL supports linear equalities.
bool	supports_linear_inequality ()
	Return flag indicating ROL supports linear inequalities.
bool	supports_nonlinear_equality ()
	Return flag indicating ROL supports nonlinear equalities.
NONLINEAR_EQUALITY_FORMAT	nonlinear_equality_format ()
	Return ROL format for nonlinear equality constraints.
bool	supports_nonlinear_inequality ()
	Return flag indicating ROL supports nonlinear inequalities.
NONLINEAR_INEQUALITY_FORMAT	nonlinear_inequality_format ()
	Return ROL format for nonlinear inequality constraints.
Public Member Functions inherited from TraitsBase
	TraitsBase ()
	default constructor
virtual	~TraitsBase ()
	destructor
virtual bool	is_derived ()
	A temporary query used in the refactor.
virtual bool	requires_bounds ()
	Return the flag indicating whether method requires bounds.
virtual LINEAR_INEQUALITY_FORMAT	linear_inequality_format ()
	Return the format used for linear inequality constraints.
virtual bool	expects_nonlinear_inequalities_first ()
	Return the flag indicating whether method expects nonlinear inequality constraints followed by nonlinear equality constraints.
virtual bool	supports_scaling ()
	Return the flag indicating whether method supports parameter scaling.
virtual bool	supports_least_squares ()
	Return the flag indicating whether method supports least squares.
virtual bool	supports_multiobjectives ()
	Return flag indicating whether method supports multiobjective optimization.
virtual bool	supports_discrete_variables ()
	Return the flag indicating whether method supports continuous variables.
virtual bool	provides_best_objective ()
	Return the flag indicating whether method provides best objective result.
virtual bool	provides_best_parameters ()
	Return the flag indicating whether method provides best parameters result.
virtual bool	provides_best_constraint ()
	Return the flag indicating whether method provides best constraint result.
virtual bool	provides_final_gradient ()
	Return the flag indicating whether method provides final gradient result.
virtual bool	provides_final_hessian ()
	Return the flag indicating whether method provides final hessian result.

Detailed Description

ROLTraits defines the types of problems and data formats ROL supports by overriding the default traits accessors in TraitsBase.

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

• ROLOptimizer.hpp