Thyra_MultiVectorStdOpsDecl.hpp File Reference

#include "Thyra_OperatorVectorTypes.hpp"
#include "RTOpPack_ROpNorm1.hpp"
#include "RTOpPack_ROpNorm2.hpp"
#include "RTOpPack_ROpNormInf.hpp"

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Namespaces
namespace	Thyra
Functions
template<class Scalar>
void	norms (const MultiVectorBase< Scalar > &V, typename Teuchos::ScalarTraits< Scalar >::magnitudeType norms[])
	Column-wise multi-vector natural norm.
template<class Scalar, class NormOp>
void	reductions (const MultiVectorBase< Scalar > &V, const NormOp &op, typename Teuchos::ScalarTraits< Scalar >::magnitudeType norms[])
	Column-wise multi-vector reductions.
template<class Scalar>
void	norms_1 (const MultiVectorBase< Scalar > &V, typename Teuchos::ScalarTraits< Scalar >::magnitudeType norms[])
	Column-wise multi-vector one norm.
template<class Scalar>
void	norms_2 (const MultiVectorBase< Scalar > &V, typename Teuchos::ScalarTraits< Scalar >::magnitudeType norms[])
	Column-wise multi-vector 2 (Euclidean) norm.
template<class Scalar>
void	norms_inf (const MultiVectorBase< Scalar > &V, typename Teuchos::ScalarTraits< Scalar >::magnitudeType norms[])
	Column-wise multi-vector infinity norm.
template<class Scalar>
void	dots (const MultiVectorBase< Scalar > &V1, const MultiVectorBase< Scalar > &V2, Scalar dots[])
	Multi-vector dot product.
template<class Scalar>
void	sums (const MultiVectorBase< Scalar > &V, Scalar sums[])
	Multi-vector column sum.
template<class Scalar>
Teuchos::ScalarTraits< Scalar >::magnitudeType	norm_1 (const MultiVectorBase< Scalar > &V)
	Take the induced matrix one norm of a multi-vector.
template<class Scalar>
void	scale (Scalar alpha, MultiVectorBase< Scalar > *V)
	V = alpha*V.
template<class Scalar>
void	scaleUpdate (const VectorBase< Scalar > &a, const MultiVectorBase< Scalar > &U, MultiVectorBase< Scalar > *V)
	A*U + V -> V (where A is a diagonal matrix with diagonal a).
template<class Scalar>
void	assign (MultiVectorBase< Scalar > *V, Scalar alpha)
	V = alpha.
template<class Scalar>
void	assign (MultiVectorBase< Scalar > *V, const MultiVectorBase< Scalar > &U)
	V = U.
template<class Scalar>
void	update (Scalar alpha, const MultiVectorBase< Scalar > &U, MultiVectorBase< Scalar > *V)
	alpha*U + V -> V
template<class Scalar>
void	update (Scalar alpha[], Scalar beta, const MultiVectorBase< Scalar > &U, MultiVectorBase< Scalar > *V)
	alpha[j-1]*beta*U(j) + V(j) - > V(j), for j = 0 ... U.domain()->dim()-1
template<class Scalar>
void	update (const MultiVectorBase< Scalar > &U, Scalar alpha[], Scalar beta, MultiVectorBase< Scalar > *V)
	U(j) + alpha[j-1]*beta*V(j) - > V(j), for j = 0 ... U.domain()->dim()-1.
template<class Scalar>
void	linear_combination (const int m, const Scalar alpha[], const MultiVectorBase< Scalar > *X[], const Scalar &beta, MultiVectorBase< Scalar > *Y)
	Y.col(j)(i) = beta*Y.col(j)(i) + sum( alpha[k]*X[k].col(j)(i), k=0...m-1 ), for i = 0...Y->range()->dim()-1, j = 0...Y->domain()->dim()-1.
template<class Scalar>
void	randomize (Scalar l, Scalar u, MultiVectorBase< Scalar > *V)
	Generate a random multi-vector with elements uniformly distributed elements.
template<class Scalar>
void	V_VpV (MultiVectorBase< Scalar > *Z, const MultiVectorBase< Scalar > &X, const MultiVectorBase< Scalar > &Y)
	Z(i,j) = X(i,j) + Y(i,j), i = 0...Z->range()->dim()-1, j = 0...Z->domain()->dim()-1.
template<class Scalar>
void	V_VmV (MultiVectorBase< Scalar > *Z, const MultiVectorBase< Scalar > &X, const MultiVectorBase< Scalar > &Y)
	Z(i,j) = X(i,j) - Y(i,j), i = 0...Z->range()->dim()-1, j = 0...Z->domain()->dim()-1.

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