StochasticTools::WeightedCartesianProduct< T, W > Class Template Reference

#include <CartesianProduct.h>

Inheritance diagram for StochasticTools::WeightedCartesianProduct< T, W >:

Public Member Functions
	WeightedCartesianProduct (const std::vector< std::vector< T >> &items, const std::vector< std::vector< W >> &weights)
std::vector< W >	computeWeightVector () const
	Compute complete vector of weights. More...
W	computeWeight (std::size_t row) const
	Compute specific weight value, given row. More...
std::vector< std::vector< T > >	computeMatrix () const
	Compute the complete Cartesian product matrix. More...
std::vector< T >	computeRow (std::size_t row) const
	Compute specified row of Cartesian product matrix. More...
T	computeValue (std::size_t row, std::size_t col) const
	Compute specific value, given row and column, of the Cartesian product matrix. More...
std::size_t	numRows () const
	Total number of rows in the complete matrix. More...
std::size_t	numCols () const
	Total number of columns in the complete matrix. More...

Protected Attributes
const std::size_t	_n_rows
	Number of rows/columns. More...
const std::size_t	_n_cols

Private Attributes
const CartesianProduct< W >	_weight
	Data used to create Cartesian product; use a copy because a temporary can be supplied. More...

Detailed Description

template<class T, class W>
class StochasticTools::WeightedCartesianProduct< T, W >

Definition at line 123 of file CartesianProduct.h.

Constructor & Destructor Documentation

WeightedCartesianProduct()

template<typename T , typename W >

StochasticTools::WeightedCartesianProduct< T, W >::WeightedCartesianProduct	(	const std::vector< std::vector< T >> &	items,
		const std::vector< std::vector< W >> &	weights
	)

Definition at line 141 of file CartesianProduct.h.

  : CartesianProduct<T>(items), _weight(weights)
{
  mooseAssert(items.size() == weights.size(),
              "The supplied items and weights must be the same size.");
  for (std::size_t i = 0; i < items.size(); ++i)
    mooseAssert(items[i].size() == weights[i].size(),
                "Internal vector of the supplied items and weights must be the same size.");
}

Member Function Documentation

computeMatrix()

template<typename T >

std::vector< std::vector< T > > StochasticTools::CartesianProduct< T >::computeMatrix ( ) const

inherited

Compute the complete Cartesian product matrix.

Definition at line 81 of file CartesianProduct.h.

{
  std::vector<std::vector<T>> output(_n_rows, std::vector<T>(_n_cols));
  for (std::size_t row = 0; row < _n_rows; ++row)
    for (std::size_t col = 0; col < _n_cols; ++col)
      output[row][col] = computeValue(row, col);
  return output;
}

computeRow()

template<typename T >

std::vector< T > StochasticTools::CartesianProduct< T >::computeRow ( std::size_t  row ) const

inherited

Compute specified row of Cartesian product matrix.

Definition at line 92 of file CartesianProduct.h.

Referenced by PolynomialQuadrature::ClenshawCurtisGrid::ClenshawCurtisGrid(), StochasticTools::MultiDimPolynomialGenerator::generateTuple(), and PolynomialQuadrature::SmolyakGrid::SmolyakGrid().

{
  std::vector<T> output(_n_cols);
  for (std::size_t col = 0; col < _n_cols; ++col)
    output[col] = computeValue(row, col);
  return output;
}

computeValue()

template<typename T >

T StochasticTools::CartesianProduct< T >::computeValue ( std::size_t  row, std::size_t  col  ) const

inherited

Compute specific value, given row and column, of the Cartesian product matrix.

Definition at line 102 of file CartesianProduct.h.

{
  mooseAssert(row < _n_rows, "Row index out of range.");
  mooseAssert(col < _n_cols, "Column index out of range.");
  return _items[col][(row / _denomenators[col]) % _moduli[col]];
}

computeWeight()

template<typename T , typename W >

W StochasticTools::WeightedCartesianProduct< T, W >::computeWeight

(

std::size_t

row

)

const

Compute specific weight value, given row.

Definition at line 164 of file CartesianProduct.h.

Referenced by PolynomialQuadrature::ClenshawCurtisGrid::ClenshawCurtisGrid(), and TEST().

{
  std::vector<W> vec = _weight.computeRow(row);
  return std::accumulate(vec.begin(), vec.end(), static_cast<W>(1), std::multiplies<W>());
}

computeWeightVector()

template<typename T , typename W >

std::vector< W > StochasticTools::WeightedCartesianProduct< T, W >::computeWeightVector

(

)

const

Compute complete vector of weights.

Definition at line 154 of file CartesianProduct.h.

Referenced by TEST().

{
  std::vector<W> output(this->_n_rows);
  for (std::size_t i = 0; i < output.size(); ++i)
    output[i] = computeWeight(i);
  return output;
}

numCols()

template<class T>

std::size_t StochasticTools::CartesianProduct< T >::numCols ( ) const

inlineinherited

Total number of columns in the complete matrix.

Definition at line 43 of file CartesianProduct.h.

Referenced by TEST().

{ return _n_cols; }

numRows()

template<class T>

std::size_t StochasticTools::CartesianProduct< T >::numRows ( ) const

inlineinherited

Total number of rows in the complete matrix.

Definition at line 40 of file CartesianProduct.h.

Referenced by PolynomialQuadrature::ClenshawCurtisGrid::ClenshawCurtisGrid(), StochasticTools::MultiDimPolynomialGenerator::generateTuple(), PolynomialQuadrature::SmolyakGrid::SmolyakGrid(), and TEST().

{ return _n_rows; }

Member Data Documentation

_n_cols

template<class T>

const std::size_t StochasticTools::CartesianProduct< T >::_n_cols

protectedinherited

Definition at line 48 of file CartesianProduct.h.

_n_rows

template<class T>

const std::size_t StochasticTools::CartesianProduct< T >::_n_rows

protectedinherited

Number of rows/columns.

Definition at line 47 of file CartesianProduct.h.

_weight

template<class T, class W>

const CartesianProduct<W> StochasticTools::WeightedCartesianProduct< T, W >::_weight

private

Data used to create Cartesian product; use a copy because a temporary can be supplied.

Definition at line 137 of file CartesianProduct.h.

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

• stochastic_tools/include/utils/CartesianProduct.h