This class creates and provides basic support for symmetric, positive-definite dense matrices of templated type. More...

#include <Teuchos_SerialSymDenseMatrix.hpp>

Inheritance diagram for Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >:

Public Types
typedef OrdinalType	ordinalType
	Typedef for ordinal type. More...

typedef ScalarType	scalarType
	Typedef for scalar type. More...

Public Types inherited from Teuchos::DefaultBLASImpl< OrdinalType, ScalarType >
typedef details::GivensRotator < ScalarType >::c_type	rotg_c_type
	The type used for c in ROTG. More...

Public Member Functions
Constructor/Destructor Methods
	SerialSymDenseMatrix ()=default
	Default constructor; defines a zero size object. More...

	SerialSymDenseMatrix (OrdinalType numRowsCols, bool zeroOut=true)
	Basic constructor; defines a matrix of `numRowsCols` size and (optionally) initializes it. More...

	SerialSymDenseMatrix (DataAccess CV, bool upper, ScalarType *values, OrdinalType stride, OrdinalType numRowsCols)
	Set object values from two-dimensional array. More...

	SerialSymDenseMatrix (const SerialSymDenseMatrix< OrdinalType, ScalarType > &Source)
	Teuchos::SerialSymDenseMatrix copy constructor. More...

	SerialSymDenseMatrix (DataAccess CV, const SerialSymDenseMatrix< OrdinalType, ScalarType > &Source, OrdinalType numRowCols, OrdinalType startRowCol=0)
	Submatrix Copy Constructor. More...

virtual	~SerialSymDenseMatrix ()
	Teuchos::SerialSymDenseMatrix destructor. More...

Shaping Methods
int	shape (OrdinalType numRowsCols)
	Set dimensions of a Teuchos::SerialSymDenseMatrix object; init values to zero. More...

int	shapeUninitialized (OrdinalType numRowsCols)
	Set dimensions of a Teuchos::SerialSymDenseMatrix object; don't initialize values. More...

int	reshape (OrdinalType numRowsCols)
	Reshape a Teuchos::SerialSymDenseMatrix object. More...

void	setLower ()
	Specify that the lower triangle of the this matrix should be used. More...

void	setUpper ()
	Specify that the upper triangle of the this matrix should be used. More...

Set methods.
SerialSymDenseMatrix < OrdinalType, ScalarType > &	operator= (const SerialSymDenseMatrix< OrdinalType, ScalarType > &Source)
	Copies values from one matrix to another. More...

SerialSymDenseMatrix < OrdinalType, ScalarType > &	assign (const SerialSymDenseMatrix< OrdinalType, ScalarType > &Source)
	Copies values from one matrix to another. More...

SerialSymDenseMatrix < OrdinalType, ScalarType > &	operator= (const ScalarType value)
	Set all values in the matrix to a constant value. More...

int	putScalar (const ScalarType value=Teuchos::ScalarTraits< ScalarType >::zero(), bool fullMatrix=false)
	Set all values in the matrix to a constant value. More...

void	swap (SerialSymDenseMatrix< OrdinalType, ScalarType > &B)
	Swap values between this matrix and incoming matrix. More...

int	random (const ScalarType bias=0.1 *Teuchos::ScalarTraits< ScalarType >::one())
	Set all values in the active area (upper/lower triangle) of this matrix to be random numbers. More...

Accessor methods.
ScalarType &	operator() (OrdinalType rowIndex, OrdinalType colIndex)
	Element access method (non-const). More...

const ScalarType &	operator() (OrdinalType rowIndex, OrdinalType colIndex) const
	Element access method (const). More...

ScalarType *	values () const
	Returns the pointer to the ScalarType data array contained in the object. More...

Query methods
bool	upper () const
	Returns true if upper triangular part of this matrix has and will be used. More...

char	UPLO () const
	Returns character value of UPLO used by LAPACK routines. More...

Mathematical Methods
SerialSymDenseMatrix < OrdinalType, ScalarType > &	operator*= (const ScalarType alpha)
	Inplace scalar-matrix product A = `alpha*A`. More...

SerialSymDenseMatrix < OrdinalType, ScalarType > &	operator+= (const SerialSymDenseMatrix< OrdinalType, ScalarType > &Source)
	Add another matrix to this matrix. More...

SerialSymDenseMatrix < OrdinalType, ScalarType > &	operator-= (const SerialSymDenseMatrix< OrdinalType, ScalarType > &Source)
	Subtract another matrix from this matrix. More...

Comparison methods.
bool	operator== (const SerialSymDenseMatrix< OrdinalType, ScalarType > &Operand) const
	Equality of two matrices. More...

bool	operator!= (const SerialSymDenseMatrix< OrdinalType, ScalarType > &Operand) const
	Inequality of two matrices. More...

Attribute methods.
OrdinalType	numRows () const
	Returns the row dimension of this matrix. More...

OrdinalType	numCols () const
	Returns the column dimension of this matrix. More...

OrdinalType	stride () const
	Returns the stride between the columns of this matrix in memory. More...

bool	empty () const
	Returns whether this matrix is empty. More...

Norm methods.
ScalarTraits< ScalarType > ::magnitudeType	normOne () const
	Returns the 1-norm of the matrix. More...

ScalarTraits< ScalarType > ::magnitudeType	normInf () const
	Returns the Infinity-norm of the matrix. More...

ScalarTraits< ScalarType > ::magnitudeType	normFrobenius () const
	Returns the Frobenius-norm of the matrix. More...

I/O methods.
virtual std::ostream &	print (std::ostream &os) const
	Print method. Defines the behavior of the std::ostream << operator. More...

Public Member Functions inherited from Teuchos::CompObject
	CompObject ()
	Default constructor. More...

	CompObject (const CompObject &source)
	Copy Constructor. More...

virtual	~CompObject ()
	Destructor. More...

void	setFlopCounter (const Flops &FlopCounter)
	Set the internal Teuchos::Flops() pointer. More...

void	setFlopCounter (const CompObject &compObject)
	Set the internal Teuchos::Flops() pointer to the flop counter of another Teuchos::CompObject. More...

void	unsetFlopCounter ()
	Set the internal Teuchos::Flops() pointer to 0 (no flops counted). More...

Flops *	getFlopCounter () const
	Get the pointer to the Teuchos::Flops() object associated with this object, returns 0 if none. More...

void	resetFlops () const
	Resets the number of floating point operations to zero for this multi-std::vector. More...

double	getFlops () const
	Returns the number of floating point operations with this multi-std::vector. More...

void	updateFlops (int addflops) const
	Increment Flop count for this object. More...

void	updateFlops (long int addflops) const
	Increment Flop count for this object. More...

void	updateFlops (double addflops) const
	Increment Flop count for this object. More...

void	updateFlops (float addflops) const
	Increment Flop count for this object. More...

Public Member Functions inherited from Teuchos::BLAS< OrdinalType, ScalarType >
	BLAS (void)
	Default constructor. More...

	BLAS (const BLAS< OrdinalType, ScalarType > &)
	Copy constructor. More...

virtual	~BLAS (void)
	Destructor. More...

Public Member Functions inherited from Teuchos::DefaultBLASImpl< OrdinalType, ScalarType >
	DefaultBLASImpl (void)
	Default constructor. More...

	DefaultBLASImpl (const DefaultBLASImpl< OrdinalType, ScalarType > &)
	Copy constructor. More...

virtual	~DefaultBLASImpl (void)
	Destructor. More...

template<typename alpha_type , typename A_type , typename x_type , typename beta_type >
void	GEMV (ETransp trans, const OrdinalType &m, const OrdinalType &n, const alpha_type alpha, const A_type A, const OrdinalType &lda, const x_type x, const OrdinalType &incx, const beta_type beta, ScalarType *y, const OrdinalType &incy) const
	Performs the matrix-vector operation: `y` `<-` `alphaAx+betay` or `y` `<-` `alphaA'x+betay` where `A` is a general `m` by `n` matrix. More...

template<typename A_type >
void	TRMV (EUplo uplo, ETransp trans, EDiag diag, const OrdinalType &n, const A_type A, const OrdinalType &lda, ScalarType x, const OrdinalType &incx) const
	Performs the matrix-vector operation: `x` `<-` `Ax` or `x` `<-` `A'x` where `A` is a unit/non-unit `n` by `n` upper/lower triangular matrix. More...

template<typename alpha_type , typename x_type , typename y_type >
void	GER (const OrdinalType &m, const OrdinalType &n, const alpha_type alpha, const x_type x, const OrdinalType &incx, const y_type y, const OrdinalType &incy, ScalarType *A, const OrdinalType &lda) const
	Performs the rank 1 operation: `A` `<-` `alphaxy'+A`. More...

template<typename alpha_type , typename A_type , typename B_type , typename beta_type >
void	GEMM (ETransp transa, ETransp transb, const OrdinalType &m, const OrdinalType &n, const OrdinalType &k, const alpha_type alpha, const A_type A, const OrdinalType &lda, const B_type B, const OrdinalType &ldb, const beta_type beta, ScalarType *C, const OrdinalType &ldc) const
	General matrix-matrix multiply. More...

void	SWAP (const OrdinalType &n, ScalarType const x, const OrdinalType &incx, ScalarType const y, const OrdinalType &incy) const
	Swap the entries of x and y. More...

template<typename alpha_type , typename A_type , typename B_type , typename beta_type >
void	SYMM (ESide side, EUplo uplo, const OrdinalType &m, const OrdinalType &n, const alpha_type alpha, const A_type A, const OrdinalType &lda, const B_type B, const OrdinalType &ldb, const beta_type beta, ScalarType *C, const OrdinalType &ldc) const
	Performs the matrix-matrix operation: `C` `<-` `alphaAB+betaC` or `C` `<-` `alphaBA+betaC` where `A` is an `m` by `m` or `n` by `n` symmetric matrix and `B` is a general matrix. More...

template<typename alpha_type , typename A_type , typename beta_type >
void	SYRK (EUplo uplo, ETransp trans, const OrdinalType &n, const OrdinalType &k, const alpha_type alpha, const A_type A, const OrdinalType &lda, const beta_type beta, ScalarType C, const OrdinalType &ldc) const
	Performs the symmetric rank k operation: `C` <- `alphaAA'+betaC` or `C` <- `alphaA'A+betaC`, where `alpha` and `beta` are scalars, `C` is an `n` by `n` symmetric matrix and `A` is an `n` by `k` matrix in the first case or `k` by `n` matrix in the second case. More...

template<typename alpha_type , typename A_type >
void	TRMM (ESide side, EUplo uplo, ETransp transa, EDiag diag, const OrdinalType &m, const OrdinalType &n, const alpha_type alpha, const A_type A, const OrdinalType &lda, ScalarType B, const OrdinalType &ldb) const
	Performs the matrix-matrix operation: `B` `<-` `alphaop`(A)B or `B` `<-` `alphaBop`(A) where `op(A)` is an unit/non-unit, upper/lower triangular matrix and `B` is a general matrix. More...

template<typename alpha_type , typename A_type >
void	TRSM (ESide side, EUplo uplo, ETransp transa, EDiag diag, const OrdinalType &m, const OrdinalType &n, const alpha_type alpha, const A_type A, const OrdinalType &lda, ScalarType B, const OrdinalType &ldb) const
	Solves the matrix equations: `op(A)X=alphaB` or `Xop`(A)=alphaB where `X` and `B` are `m` by `n` matrices, `A` is a unit/non-unit, upper/lower triangular matrix and `op(A)` is `A` or `A'`. The matrix `X` is overwritten on `B`. More...

void	ROTG (ScalarType da, ScalarType db, rotg_c_type c, ScalarType s) const
	Computes a Givens plane rotation. More...

void	ROT (const OrdinalType &n, ScalarType dx, const OrdinalType &incx, ScalarType dy, const OrdinalType &incy, MagnitudeType c, ScalarType s) const
	Applies a Givens plane rotation. More...

void	SCAL (const OrdinalType &n, const ScalarType &alpha, ScalarType *x, const OrdinalType &incx) const
	Scale the vector `x` by the constant `alpha`. More...

void	COPY (const OrdinalType &n, const ScalarType x, const OrdinalType &incx, ScalarType y, const OrdinalType &incy) const
	Copy the vector `x` to the vector `y`. More...

template<typename alpha_type , typename x_type >
void	AXPY (const OrdinalType &n, const alpha_type alpha, const x_type x, const OrdinalType &incx, ScalarType y, const OrdinalType &incy) const
	Perform the operation: `y` `<-` `y+alpha*x`. More...

ScalarTraits< ScalarType > ::magnitudeType	ASUM (const OrdinalType &n, const ScalarType *x, const OrdinalType &incx) const
	Sum the absolute values of the entries of `x`. More...

template<typename x_type , typename y_type >
ScalarType	DOT (const OrdinalType &n, const x_type x, const OrdinalType &incx, const y_type y, const OrdinalType &incy) const
	Form the dot product of the vectors `x` and `y`. More...

ScalarTraits< ScalarType > ::magnitudeType	NRM2 (const OrdinalType &n, const ScalarType *x, const OrdinalType &incx) const
	Compute the 2-norm of the vector `x`. More...

OrdinalType	IAMAX (const OrdinalType &n, const ScalarType *x, const OrdinalType &incx) const
	Return the index of the element of `x` with the maximum magnitude. More...

Related Functions
(Note that these are not member functions.)
template<typename OrdinalType , typename ScalarType >
void	symMatTripleProduct (ETransp transw, const ScalarType alpha, const SerialSymDenseMatrix< OrdinalType, ScalarType > &A, const SerialDenseMatrix< OrdinalType, ScalarType > &W, SerialSymDenseMatrix< OrdinalType, ScalarType > &B)
	A templated, non-member, helper function for computing the matrix triple-product: B = alphaW^TAW or B = alphaWAW^T. More...

Detailed Description

template<typename OrdinalType, typename ScalarType>
class Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >

This class creates and provides basic support for symmetric, positive-definite dense matrices of templated type.

The Teuchos_SerialSymDenseMatrix class enables the construction and use of
symmetric, positive-definite, dense matrices of templated type.

The Teuchos::SerialSymDenseMatrix class is intended to provide full-featured support for solving
linear and eigen system problems for symmetric positive-definite (SPD) matrices.  It is written on
top of BLAS and LAPACK and thus has excellent performance and numerical capabilities.  Using this
class, one can either perform simple factorizations and solves or apply all the tricks available in
LAPACK to get the best possible solution for very ill-conditioned problems.

<b>Teuchos::SerialSymDenseMatrix vs. Teuchos::LAPACK</b>

The Teuchos::LAPACK class provides access to most of the same functionality as Teuchos::SerialSymDenseMatrix.
The primary difference is that Teuchos::LAPACK is a "thin" layer on top of LAPACK and
Teuchos::SerialSymDenseMatrix attempts to provide easy access to the more sophisticated aspects of
solving dense linear and eigensystems.

When you should use Teuchos::LAPACK: If you are simply looking for a convenient wrapper around the Fortran LAPACK routines and you have a well-conditioned problem, you should probably use Teuchos::LAPACK directly.
When you should use Teuchos::SerialSymDenseMatrix: If you want to (or potentially want to) solve ill-conditioned problems or want to work with a more object-oriented interface, you should probably use Teuchos::SerialSymDenseMatrix.

Constructing Teuchos::SerialSymDenseMatrix Objects

There are three Teuchos::SerialSymDenseMatrix constructors. The first constructs a zero-sized object which should be made to appropriate length using the Shape() or Reshape() functions and then filled with the [] or () operators. The second is a constructor that accepts user data as a 2D array, the third is a copy constructor. The second constructor has two data access modes (specified by the Teuchos::DataAccess argument):

Copy mode - Allocates memory and makes a copy of the user-provided data. In this case, the user data is not needed after construction.
View mode - Creates a "view" of the user data. In this case, the user data is required to remain intact for the life of the object.

Warning: View mode is extremely dangerous from a data hiding perspective. Therefore, we strongly encourage users to develop code using Copy mode first and only use the View mode in a secondary optimization phase.

Extracting Data from Teuchos::SerialSymDenseMatrix Objects

Once a Teuchos::SerialSymDenseMatrix is constructed, it is possible to view the data via access functions.

Warning: Use of these access functions cam be extremely dangerous from a data hiding perspective.

Vector and Utility Functions

Once a Teuchos::SerialSymDenseMatrix is constructed, several mathematical functions can be applied to the object. Specifically:

Multiplication.
Norms.

Examples:: DenseMatrix/cxx_main_sym.cpp.

Definition at line 91 of file Teuchos_SerialSymDenseMatrix.hpp.

Member Typedef Documentation

template<typename OrdinalType, typename ScalarType>

typedef OrdinalType Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::ordinalType

Typedef for ordinal type.

Definition at line 96 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType, typename ScalarType>

typedef ScalarType Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::scalarType

Typedef for scalar type.

Definition at line 98 of file Teuchos_SerialSymDenseMatrix.hpp.

Constructor & Destructor Documentation

template<typename OrdinalType, typename ScalarType>

Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::SerialSymDenseMatrix ( )

default

Default constructor; defines a zero size object.

Teuchos::SerialSymDenseMatrix objects defined by the default constructor should be sized with the Shape() or Reshape() functions. Values should be defined by using the [] or ()operators.

Note: By default the active part of the matrix is assumed to be the lower triangular part. To set the upper part as active, call SetUpper(). See Detailed Description section for further discussion.

template<typename OrdinalType , typename ScalarType >

Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::SerialSymDenseMatrix	(	OrdinalType	numRowsCols,
		bool	zeroOut = `true`
	)

Basic constructor; defines a matrix of numRowsCols size and (optionally) initializes it.

Parameters

numRowsCols	- Number of rows and columns in the matrix.
zeroOut	- Initializes values to 0 if true (default)

Creates a shaped matrix with numRowsCols rows and cols. All values are initialized to 0 when zeroOut is true. Values of this matrix should be set using the [] or the () operators.

Note: By default the active part of the matrix is assumed to be the lower triangular part. To set the upper part as active, call SetUpper(). See Detailed Description section for further discussion.

Definition at line 419 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::SerialSymDenseMatrix	(	DataAccess	CV,
		bool	upper,
		ScalarType *	values,
		OrdinalType	stride,
		OrdinalType	numRowsCols
	)

Set object values from two-dimensional array.

Parameters

CV	- Enumerated type set to Teuchos::Copy or Teuchos::View.
values	- Pointer to an array of ScalarType. The first column starts at `values`, the second at `values+stride`, etc.
stride	- The stride between the columns of the matrix in memory.
numRowsCols	- Number of rows and columns in the matrix.

Note: By default the active part of the matrix is assumed to be the lower triangular part. To set the upper part as active, call SetUpper(). See Detailed Description section for further discussion.

Definition at line 431 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::SerialSymDenseMatrix ( const SerialSymDenseMatrix< OrdinalType, ScalarType > & Source )

Teuchos::SerialSymDenseMatrix copy constructor.

Definition at line 452 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::SerialSymDenseMatrix	(	DataAccess	CV,
		const SerialSymDenseMatrix< OrdinalType, ScalarType > &	Source,
		OrdinalType	numRowCols,
		OrdinalType	startRowCol = `0`
	)

Submatrix Copy Constructor.

Parameters

CV	- Enumerated type set to Teuchos::Copy or Teuchos::View.
Source	- Reference to another dense matrix from which values are to be copied.
numRowCols	- The number of rows and columns in this matrix.
startRowCol	- The row and column of `Source` from which the submatrix copy should start.

Creates a shaped matrix with numRowCols rows and columns, which is a submatrix of Source. If startRowCol are not given, then the submatrix is the leading submatrix of Source.

Definition at line 478 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::~SerialSymDenseMatrix ( )

virtual

Teuchos::SerialSymDenseMatrix destructor.

Definition at line 498 of file Teuchos_SerialSymDenseMatrix.hpp.

Member Function Documentation

template<typename OrdinalType , typename ScalarType >

int Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::shape ( OrdinalType numRowsCols )

Set dimensions of a Teuchos::SerialSymDenseMatrix object; init values to zero.

Parameters

numRowsCols - Number of rows and columns in object.

Allows user to define the dimensions of a Teuchos::SerialSymDenseMatrix at any point. This function can be called at any point after construction. Any values that were previously in this object are destroyed and the resized matrix starts off with all zero values.

Returns: Integer error code, set to 0 if successful.

Definition at line 508 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

int Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::shapeUninitialized ( OrdinalType numRowsCols )

Set dimensions of a Teuchos::SerialSymDenseMatrix object; don't initialize values.

Parameters

numRowsCols - Number of rows and columns in object.

Allows user to define the dimensions of a Teuchos::SerialSymDenseMatrix at any point. This function can be called at any point after construction. Any values that were previously in this object are destroyed. The resized matrix has uninitialized values.

Returns: Integer error code, set to 0 if successful.

Definition at line 520 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

int Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::reshape ( OrdinalType numRowsCols )

Reshape a Teuchos::SerialSymDenseMatrix object.

Parameters

numRowsCols - Number of rows and columns in object.

Allows user to define the dimensions of a Teuchos::SerialSymDenseMatrix at any point. This function can be called at any point after construction. Any values that were previously in this object are copied into the new shape. If the new shape is smaller than the original, the upper left portion of the original matrix (the principal submatrix) is copied to the new matrix.

Returns: Integer error code, set to 0 if successful.

Definition at line 531 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

void Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::setLower ( )

Specify that the lower triangle of the this matrix should be used.

Warning: This may necessitate the matrix values be copied from the upper to lower portion of the matrix.

Definition at line 558 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

void Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::setUpper ( )

Specify that the upper triangle of the this matrix should be used.

Warning: This may necessitate the matrix values be copied from the lower to upper portion of the matrix.

Definition at line 569 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

SerialSymDenseMatrix< OrdinalType, ScalarType > & Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::operator= ( const SerialSymDenseMatrix< OrdinalType, ScalarType > & Source )

Copies values from one matrix to another.

The operator= copies the values from one existing SerialSymDenseMatrix to another. If Source is a view (i.e. CV = Teuchos::View), then this method will return a view. Otherwise, it will return a copy of Source. this object will be resized if it is not large enough to copy Source into.

Definition at line 659 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

SerialSymDenseMatrix< OrdinalType, ScalarType > & Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::assign ( const SerialSymDenseMatrix< OrdinalType, ScalarType > & Source )

Copies values from one matrix to another.

Copies the values from one existing SerialSymDenseMatrix to another if the dimension of both matrices are the same. If not, this matrix will be returned unchanged.

Definition at line 751 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType, typename ScalarType>

SerialSymDenseMatrix<OrdinalType, ScalarType>& Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::operator= ( const ScalarType value )

inline

Set all values in the matrix to a constant value.

Parameters

value - Value to use;

Definition at line 234 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

int Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::putScalar	(	const ScalarType	value = `Teuchos::ScalarTraits<ScalarType>::zero()`,
		bool	fullMatrix = `false`
	)

Set all values in the matrix to a constant value.

Parameters

value	- Value to use; zero if none specified.
fullMatrix	- set full matrix entries to `value`, not just active portion of symmetric matrix.

Returns: Integer error code, set to 0 if successful.

Definition at line 580 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

void Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::swap ( SerialSymDenseMatrix< OrdinalType, ScalarType > & B )

Swap values between this matrix and incoming matrix.

Swaps pointers and associated state without copying the matrix data.

Definition at line 613 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

int Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::random ( const ScalarType bias = 0.1*Teuchos::ScalarTraits<ScalarType>::one() )

Set all values in the active area (upper/lower triangle) of this matrix to be random numbers.

Note: The diagonal will be the sum of the off diagonal elements, plus a bias, so the matrix is SPD.

Definition at line 625 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

ScalarType & Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::operator()	(	OrdinalType	rowIndex,
		OrdinalType	colIndex
	)

inline

Element access method (non-const).

Returns the element in the ith row and jth column if A(i,j) is specified.

Returns: Element from the specified rowIndex row and colIndex column.

Note: If the requested element lies in the inactive part of the matrix, then A(j,i) will be returned.

Warning: The validity of rowIndex and colIndex will only be checked if Teuchos is configured with –enable-teuchos-abc.

Definition at line 773 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

const ScalarType & Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::operator()	(	OrdinalType	rowIndex,
		OrdinalType	colIndex
	)		const

inline

Element access method (const).

Returns the element in the ith row and jth column if A(i,j) is specified.

Returns: Element from the specified rowIndex row and colIndex column.

Note: If the requested element lies in the inactive part of the matrix, then A(j,i) will be returned.

Warning: The validity of rowIndex and colIndex will only be checked if Teuchos is configured with –enable-teuchos-abc.

Definition at line 795 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType, typename ScalarType>

ScalarType* Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::values ( ) const

inline

Returns the pointer to the ScalarType data array contained in the object.

Note: The matrix values are only guaranteed to be stored in the active area of the matrix (upper/lower).

Definition at line 283 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType, typename ScalarType>

bool Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::upper ( ) const

inline

Returns true if upper triangular part of this matrix has and will be used.

Definition at line 291 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType, typename ScalarType>

char Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::UPLO ( ) const

inline

Returns character value of UPLO used by LAPACK routines.

Definition at line 294 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

SerialSymDenseMatrix< OrdinalType, ScalarType > & Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::operator*= ( const ScalarType alpha )

Inplace scalar-matrix product A = alpha*A.

Scale a matrix, entry-by-entry using the value alpha. This method is sensitive to the UPLO() parameter.

Parameters

alpha - Scalar to multiply with A.

Definition at line 720 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

SerialSymDenseMatrix< OrdinalType, ScalarType > & Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::operator+= ( const SerialSymDenseMatrix< OrdinalType, ScalarType > & Source )

Add another matrix to this matrix.

Add Source to this if the dimension of both matrices are the same. If not, this matrix will be returned unchanged.

Definition at line 727 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

SerialSymDenseMatrix< OrdinalType, ScalarType > & Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::operator-= ( const SerialSymDenseMatrix< OrdinalType, ScalarType > & Source )

Subtract another matrix from this matrix.

Subtract Source from this if the dimension of both matrices are the same. If not, this matrix will be returned unchanged.

Definition at line 739 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

bool Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::operator== ( const SerialSymDenseMatrix< OrdinalType, ScalarType > & Operand ) const

Equality of two matrices.

Returns: True if this matrix and Operand are of the same shape (rows / columns) and have the same entries in the active (upper / lower triangular) area of the matrix, else False will be returned.

Definition at line 903 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

bool Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::operator!= ( const SerialSymDenseMatrix< OrdinalType, ScalarType > & Operand ) const

Inequality of two matrices.

Returns: True if this matrix and Operand of not of the same shape (rows / columns) or don't have the same entries in the active (upper / lower triangular), else False will be returned.

Definition at line 923 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType, typename ScalarType>

OrdinalType Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::numRows ( ) const

inline

Returns the row dimension of this matrix.

Definition at line 344 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType, typename ScalarType>

OrdinalType Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::numCols ( ) const

inline

Returns the column dimension of this matrix.

Definition at line 347 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType, typename ScalarType>

OrdinalType Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::stride ( ) const

inline

Returns the stride between the columns of this matrix in memory.

Definition at line 350 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType, typename ScalarType>

bool Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::empty ( ) const

inline

Returns whether this matrix is empty.

Definition at line 353 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

ScalarTraits< ScalarType >::magnitudeType Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::normOne ( ) const

Returns the 1-norm of the matrix.

Definition at line 821 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

ScalarTraits< ScalarType >::magnitudeType Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::normInf ( ) const

Returns the Infinity-norm of the matrix.

Definition at line 827 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

ScalarTraits< ScalarType >::magnitudeType Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::normFrobenius ( ) const

Returns the Frobenius-norm of the matrix.

Definition at line 870 of file Teuchos_SerialSymDenseMatrix.hpp.

template<typename OrdinalType , typename ScalarType >

std::ostream & Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >::print ( std::ostream & os ) const

virtual

Print method. Defines the behavior of the std::ostream << operator.

Definition at line 982 of file Teuchos_SerialSymDenseMatrix.hpp.

Friends And Related Function Documentation

template<typename OrdinalType , typename ScalarType >

void symMatTripleProduct	(	ETransp	transw,
		const ScalarType	alpha,
		const SerialSymDenseMatrix< OrdinalType, ScalarType > &	A,
		const SerialDenseMatrix< OrdinalType, ScalarType > &	W,
		SerialSymDenseMatrix< OrdinalType, ScalarType > &	B
	)

Parameters

transw	- [in] Compute B = alphaW^TAW if transw = Teuchos::TRANS, else compute B = alphaWAW^T if transw = Teuchos::NO_TRANS.
alpha	- [in] The scaling factor.
A	- [in] SerialSymDenseMatrix
W	- [in] SerialDenseMatrix
B	- [out] SerialSymDenseMatrix

Note: The syntax for calling this function is: Teuchos::symMatTripleProduct<int,double>( Teuchos::TRANS, alpha, A, W, B )

Definition at line 44 of file Teuchos_SerialDenseHelpers.hpp.

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

Public Types

Public Member Functions

Related Functions

Detailed Description

template<typename OrdinalType, typename ScalarType> class Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Friends And Related Function Documentation

template<typename OrdinalType, typename ScalarType>
class Teuchos::SerialSymDenseMatrix< OrdinalType, ScalarType >