a class that peforms a Nelde-Mead type optimization More...

Inheritance diagram for DICe::Subset_Simplex:

Public Member Functions
	Subset_Simplex (const DICe::Objective *const obj, const Teuchos::RCP< Teuchos::ParameterList > &params=Teuchos::null)
	Default constructor. More...

virtual	~Subset_Simplex ()
	destructor

virtual scalar_t	objective (Teuchos::RCP< std::vector< scalar_t > > variables)
	the objective function that the simplex method is optimizing More...

Status_Flag	minimize (Teuchos::RCP< Local_Shape_Function > shape_function, int_t &num_iterations, const scalar_t &threshold=1.0E-10)

virtual Status_Flag	minimize (Teuchos::RCP< std::vector< scalar_t > > variables, Teuchos::RCP< std::vector< scalar_t > > deltas, int_t &num_iterations, const scalar_t &threshold=1.0E-10)

Public Member Functions inherited from DICe::Simplex
	Simplex (const Teuchos::RCP< Teuchos::ParameterList > &params=Teuchos::null)
	Default constructor. More...

virtual	~Simplex ()
	destructor

virtual Status_Flag	minimize (Teuchos::RCP< std::vector< scalar_t > > variables, Teuchos::RCP< std::vector< scalar_t > > deltas, int_t &num_iterations, const scalar_t &threshold=1.0E-10)
	Returns the status of the algorithm when complete. More...

Protected Attributes
const DICe::Objective *const	obj_
	Pointer to a DICe::Objective, used to gain access to objective methods like gamma()

Teuchos::RCP< Local_Shape_Function >	shape_function_
	Pointer to a shape function class.

Protected Attributes inherited from DICe::Simplex
int_t	max_iterations_
	Maximum allowed iterations for convergence.

double	tolerance_
	Convergence tolerance.

scalar_t	tiny_
	Numerically small value.

Detailed Description

a class that peforms a Nelde-Mead type optimization

Constructor & Destructor Documentation

DICe::Subset_Simplex::Subset_Simplex	(	const DICe::Objective *const	obj,
		const Teuchos::RCP< Teuchos::ParameterList > &	params = `Teuchos::null`
	)

Default constructor.

Parameters

obj	Pointer to a DICe::Objective, used to gain access to the gamma() method of the objective
params	Paramters that define the varaitions on the initial guess, convergence tolerance and max number of iterations

virtual Status_Flag DICe::Simplex::minimize

call the minimization routine

Parameters

virtual scalar_t DICe::Subset_Simplex::objective ( Teuchos::RCP< std::vector< scalar_t > > variables )

virtual

the objective function that the simplex method is optimizing

Parameters

variables the current guess at which to evaluate the objective