/usr/include/trilinos/Stokhos_StieltjesPCEBasis.hpp is in libtrilinos-stokhos-dev 12.4.2-2.
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#ifndef STOKHOS_STIELTJESPCEBASIS_HPP
#define STOKHOS_STIELTJESPCEBASIS_HPP
#include "Teuchos_RCP.hpp"
#include "Teuchos_Array.hpp"
#include "Stokhos_RecurrenceBasis.hpp"
#include "Stokhos_OrthogPolyApprox.hpp"
#include "Stokhos_Quadrature.hpp"
#include "Stokhos_Sparse3Tensor.hpp"
#include "Teuchos_SerialDenseMatrix.hpp"
namespace Stokhos {
/*!
* \brief Generates three-term recurrence using the Discretized Stieltjes
* procedure applied to a polynomial chaos expansion in another basis.
*/
template <typename ordinal_type, typename value_type>
class StieltjesPCEBasis :
public RecurrenceBasis<ordinal_type, value_type> {
public:
//! Constructor
/*!
* \param p order of the basis
* \param pce polynomial chaos expansion defining new density function
* \param quad quadrature data for basis of PC expansion
* \param use_pce_quad_points whether to use quad to define quadrature
* points for the new basis, or whether to use the Golub-Welsch
* system.
* \param normalize whether polynomials should be given unit norm
*/
StieltjesPCEBasis(
ordinal_type p,
const Teuchos::RCP<const Stokhos::OrthogPolyApprox<ordinal_type, value_type> >& pce,
const Teuchos::RCP<const Stokhos::Quadrature<ordinal_type, value_type> >& quad,
bool use_pce_quad_points,
bool normalize = false,
bool project_integrals = false,
const Teuchos::RCP<const Stokhos::Sparse3Tensor<ordinal_type, value_type> >& Cijk = Teuchos::null);
//! Destructor
~StieltjesPCEBasis();
//! \name Implementation of Stokhos::OneDOrthogPolyBasis methods
//@{
//! Get Gauss quadrature points, weights, and values of basis at points
virtual void
getQuadPoints(ordinal_type quad_order,
Teuchos::Array<value_type>& points,
Teuchos::Array<value_type>& weights,
Teuchos::Array< Teuchos::Array<value_type> >& values) const;
/*!
* \brief Clone this object with the option of building a higher order
* basis.
*/
/*!
* This method is following the Prototype pattern (see Design Pattern's textbook).
* The slight variation is that it allows the order of the polynomial to be modified,
* otherwise an exact copy is formed. The use case for this is creating basis functions
* for column indices in a spatially varying adaptive refinement context.
*/
virtual Teuchos::RCP<OneDOrthogPolyBasis<ordinal_type,value_type> > cloneWithOrder(ordinal_type p) const;
//@}
//! Map expansion coefficients from this basis to original
void transformCoeffsFromStieltjes(const value_type *in,
value_type *out) const;
protected:
//! \name Implementation of Stokhos::RecurrenceBasis methods
//@{
//! Compute recurrence coefficients
virtual bool
computeRecurrenceCoefficients(ordinal_type n,
Teuchos::Array<value_type>& alpha,
Teuchos::Array<value_type>& beta,
Teuchos::Array<value_type>& delta,
Teuchos::Array<value_type>& gamma) const;
//! Setup basis after computing recurrence coefficients
virtual void setup();
//@}
//! Compute 3-term recurrence using Stieljtes procedure
void stieltjes(ordinal_type nstart,
ordinal_type nfinish,
const Teuchos::Array<value_type>& weights,
const Teuchos::Array<value_type>& points,
Teuchos::Array<value_type>& a,
Teuchos::Array<value_type>& b,
Teuchos::Array<value_type>& nrm,
Teuchos::Array< Teuchos::Array<value_type> >& phi_vals) const;
/*!
* \brief Compute \f$\int\psi^2_k(t) d\lambda(t)\f$ and
* \f$\int t\psi^2_k(t) d\lambda(t)\f$
*/
void integrateBasisSquared(
ordinal_type k,
const Teuchos::Array<value_type>& a,
const Teuchos::Array<value_type>& b,
const Teuchos::Array<value_type>& weights,
const Teuchos::Array<value_type>& points,
Teuchos::Array< Teuchos::Array<value_type> >& phi_vals,
value_type& val1, value_type& val2) const;
/*!
* \brief Compute \f$\int\psi^2_k(t) d\lambda(t)\f$ and
* \f$\int t\psi^2_k(t) d\lambda(t)\f$ by projecting onto original
* PCE basis
*/
void integrateBasisSquaredProj(
ordinal_type k,
const Teuchos::Array<value_type>& a,
const Teuchos::Array<value_type>& b,
const Teuchos::Array<value_type>& weights,
const Teuchos::Array<value_type>& points,
Teuchos::Array< Teuchos::Array<value_type> >& phi_vals,
value_type& val1, value_type& val2) const;
//! Evaluate polynomials via 3-term recurrence
void evaluateRecurrence(ordinal_type k,
const Teuchos::Array<value_type>& a,
const Teuchos::Array<value_type>& b,
const Teuchos::Array<value_type>& points,
Teuchos::Array< Teuchos::Array<value_type> >& values) const;
//! Copy constructor with specified order
StieltjesPCEBasis(ordinal_type p, const StieltjesPCEBasis& basis);
private:
// Prohibit copying
StieltjesPCEBasis(const StieltjesPCEBasis&);
// Prohibit Assignment
StieltjesPCEBasis& operator=(const StieltjesPCEBasis& b);
protected:
//! PC expansion
Teuchos::RCP<const Stokhos::OrthogPolyApprox<ordinal_type, value_type> > pce;
//! Quadrature object
Teuchos::RCP<const Stokhos::Quadrature<ordinal_type, value_type> > quad;
//! PCE quadrature weights
const Teuchos::Array<value_type>& pce_weights;
//! Values of PCE basis functions at quadrature points
const Teuchos::Array< Teuchos::Array<value_type> >& basis_values;
//! Values of PCE at quadrature points
mutable Teuchos::Array<value_type> pce_vals;
//! Values of generated polynomials at PCE quadrature points
mutable Teuchos::Array< Teuchos::Array<value_type> > phi_vals;
//! Use underlying pce's quadrature data
bool use_pce_quad_points;
//! Matrix mapping coefficients in Stieltjes basis back to original basis
Teuchos::SerialDenseMatrix<ordinal_type, value_type> fromStieltjesMat;
//! Project Stieltjes integrals to original PCE basis
bool project_integrals;
//! PCE basis (needed for integral projection method)
Teuchos::RCP<const Stokhos::OrthogPolyBasis<ordinal_type, value_type> > basis;
//! Short-hand for triple product
typedef Stokhos::Sparse3Tensor<ordinal_type, value_type> Cijk_type;
//! Triple product tensor (needed for integral projection method)
Teuchos::RCP<const Cijk_type> Cijk;
//! Array store PC expansion of generated orthogonal polynomials
mutable Teuchos::Array<value_type> phi_pce_coeffs;
}; // class StieltjesPCEBasis
} // Namespace Stokhos
// Include template definitions
#include "Stokhos_StieltjesPCEBasisImp.hpp"
#endif
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