NonDQuadrature Class Reference

normals/uniforms/exponentials/betas/gammas. More...

Inheritance diagram for NonDQuadrature:

List of all members.

Public Member Functions
	NonDQuadrature (Model &model, const UShortArray &order)
const UShortArray &	quadrature_order () const
	return quadOrder
Protected Member Functions
	NonDQuadrature (Model &model)
	constructor
	~NonDQuadrature ()
	destructor
void	get_parameter_sets (const Model &model)
	Returns one block of samples (ndim * num_samples).
void	check_input ()
	verify self-consistency of data
void	sampling_reset (int min_samples, int rec_samples, bool all_data_flag, bool stats_flag)
Private Attributes
UShortArray	quadOrderSpec
	the user specification for the number of Gauss points per dimension
UShortArray	quadOrder
	external requirements communicated through sampling_reset()

---

Detailed Description

normals/uniforms/exponentials/betas/gammas.

This class is used by NonDPolynomialChaos, but could also be used for general numerical integration of moments. It employs Gauss-Hermite, Gauss-Legendre, Gauss-Laguerre, Gauss-Jacobi and generalized Gauss-Laguerre quadrature for use with normal, uniform, exponential, beta, and gamma density functions and integration bounds. The abscissas and weights for one-dimensional integration are extracted from the appropriate OrthogonalPolynomial class and are extended to n-dimensions using a tensor product approach.

---

Constructor & Destructor Documentation

NonDQuadrature	(	Model &	model,
		const UShortArray &	order
	)

This alternate constructor is used for on-the-fly generation and evaluation of numerical quadrature points.

NonDQuadrature

(

Model &

model

)

[protected]

constructor

This constructor is called for a standard letter-envelope iterator instantiation. In this case, set_db_list_nodes has been called and probDescDB can be queried for settings from the method specification. It is not currently used, as there is not yet a separate nond_quadrature method specification.

---

Member Function Documentation

void sampling_reset	(	int	min_samples,
		int	rec_samples,
		bool	all_data_flag,
		bool	stats_flag
	)			[inline, protected, virtual]

used by DataFitSurrModel::build_global() to publish the minimum number of points needed from the quadrature routine in order to build a particular global approximation.

Reimplemented from Iterator.

---

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

• NonDQuadrature.H
• NonDQuadrature.C

---