a simplex that performs a nonlinear warp More...

Inheritance diagram for DICe::Warp_Simplex:

Public Member Functions
	Warp_Simplex (Teuchos::RCP< Image > left_img, Teuchos::RCP< Image > right_img, Triangulation *tri, const Teuchos::RCP< Teuchos::ParameterList > &params=Teuchos::null)
	Default constructor. More...

virtual	~Warp_Simplex ()
	destructor

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

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
Teuchos::RCP< Image >	left_img_
	Pointer to the left image.

Teuchos::RCP< Image >	right_img_
	Pointer to the right image.

Triangulation *	tri_
	Pointer to a triangulation.

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 simplex that performs a nonlinear warp

Constructor & Destructor Documentation

DICe::Warp_Simplex::Warp_Simplex	(	Teuchos::RCP< Image >	left_img,
		Teuchos::RCP< Image >	right_img,
		Triangulation *	tri,
		const Teuchos::RCP< Teuchos::ParameterList > &	params = `Teuchos::null`
	)

Default constructor.

Parameters

left_img	the left image
right_img	the right image
tri	pointer to a triangulation class
params	Paramters that define the varaitions on the initial guess, convergence tolerance and max number of iterations

virtual scalar_t DICe::Warp_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