Concrete implementation of NOX::Abstract::Group for Petsc. More...

#include <NOX_Petsc_Group.H>

Inheritance diagram for NOX::Petsc::Group:

Collaboration diagram for NOX::Petsc::Group:

Public Member Functions
	Group (Interface &i, Vec &x, Mat &J)
	Constructor.

	Group (const Group &source, CopyType type=DeepCopy)
	Copy constructor. If type is DeepCopy, takes ownership of valid shared Jacobian.

virtual	~Group ()
	Destructor.

virtual Abstract::Group &	operator= (const NOX::Abstract::Group &source)
	Copies the source group into this group. More...

virtual Abstract::Group &	operator= (const Group &source)
	See above.

virtual Teuchos::RCP < NOX::Abstract::Group >	clone (CopyType type=DeepCopy) const
	Create a new Group of the same derived type as this one by cloning this one, and return a ref count pointer to the new group. More...

"Compute" functions.
virtual void	setX (const Vector &y)

virtual void	setX (const Abstract::Vector &y)
	See above.

virtual void	computeX (const Group &grp, const Vector &d, double step)

virtual void	computeX (const Abstract::Group &grp, const Abstract::Vector &d, double step)
	See above.

virtual Abstract::Group::ReturnType	computeF ()
	Compute and store F(x). More...

virtual Abstract::Group::ReturnType	computeJacobian ()
	Compute and store Jacobian. More...

virtual Abstract::Group::ReturnType	computeGradient ()
	Compute and store gradient. More...

virtual Abstract::Group::ReturnType	computeNewton (Teuchos::ParameterList &params)
	Compute the Newton direction, using parameters for the linear solve. More...

Jacobian operations.
Operations using the Jacobian matrix. These may not be defined in matrix-free scenarios.
virtual Abstract::Group::ReturnType	applyJacobian (const Vector &input, Vector &result) const

virtual Abstract::Group::ReturnType	applyJacobian (const Abstract::Vector &input, Abstract::Vector &result) const
	See above.

virtual Abstract::Group::ReturnType	applyJacobianTranspose (const Vector &input, Vector &result) const

virtual Abstract::Group::ReturnType	applyJacobianTranspose (const Abstract::Vector &input, Abstract::Vector &result) const
	See above.

virtual Abstract::Group::ReturnType	applyRightPreconditioning (const Vector &input, Vector &result) const
	Preconditions a vector using one of the available methods in Petsc. More...

virtual Abstract::Group::ReturnType	applyRightPreconditioning (Teuchos::ParameterList &, const Abstract::Vector &input, Abstract::Vector &result) const
	See above.

"Is" functions
Checks to see if various objects have been computed. Returns true if the corresponding "compute" function has been called since the last update to the solution vector (via instantiation or computeX).
virtual bool	isF () const
	Return true if F is valid.

virtual bool	isJacobian () const
	Return true if the Jacobian is valid. More...

virtual bool	isGradient () const
	Return true if the gradient is valid. More...

virtual bool	isNewton () const
	Return true if the Newton direction is valid. More...

virtual bool	isPreconditioner () const

"Get" functions
Note that these function do not check whether or not the vectors are valid. Must use the "Is" functions for that purpose.
virtual const Abstract::Vector &	getX () const
	Return solution vector.

virtual const Abstract::Vector &	getF () const
	Return F(x)

virtual double	getNormF () const
	Return 2-norm of F(x). More...

virtual const Abstract::Vector &	getGradient () const
	Return gradient.

virtual const Abstract::Vector &	getNewton () const
	Return Newton direction.

virtual Teuchos::RCP< const Abstract::Vector >	getXPtr () const
	Return RCP to solution vector.

virtual Teuchos::RCP< const Abstract::Vector >	getFPtr () const
	Return RCP to F(x)

virtual Teuchos::RCP< const Abstract::Vector >	getGradientPtr () const
	Return RCP to gradient.

virtual Teuchos::RCP< const Abstract::Vector >	getNewtonPtr () const
	Return RCP to Newton direction.

Public Member Functions inherited from NOX::Abstract::Group
	Group ()
	Constructor. More...

virtual NOX::Abstract::Group::ReturnType	applyJacobianInverse (Teuchos::ParameterList &params, const NOX::Abstract::Vector &input, NOX::Abstract::Vector &result) const
	Applies the inverse of the Jacobian matrix to the given input vector and puts the answer in result. More...

virtual NOX::Abstract::Group::ReturnType	applyRightPreconditioning (bool useTranspose, Teuchos::ParameterList &params, const NOX::Abstract::Vector &input, NOX::Abstract::Vector &result) const
	Apply right preconditiong to the given input vector. More...

virtual NOX::Abstract::Group::ReturnType	applyJacobianMultiVector (const NOX::Abstract::MultiVector &input, NOX::Abstract::MultiVector &result) const
	applyJacobian for multiple right-hand sides More...

virtual NOX::Abstract::Group::ReturnType	applyJacobianTransposeMultiVector (const NOX::Abstract::MultiVector &input, NOX::Abstract::MultiVector &result) const
	applyJacobianTranspose for multiple right-hand sides More...

virtual NOX::Abstract::Group::ReturnType	applyJacobianInverseMultiVector (Teuchos::ParameterList &params, const NOX::Abstract::MultiVector &input, NOX::Abstract::MultiVector &result) const
	applyJacobianInverse for multiple right-hand sides More...

virtual NOX::Abstract::Group::ReturnType	applyRightPreconditioningMultiVector (bool useTranspose, Teuchos::ParameterList &params, const NOX::Abstract::MultiVector &input, NOX::Abstract::MultiVector &result) const
	applyRightPreconditioning for multiple right-hand sides More...

virtual const NOX::Abstract::Vector &	getScaledX () const

virtual void	logLastLinearSolveStats (NOX::SolverStats &stats) const
	Adds statistics from last linear solve to the SovlerStats object.

virtual NOX::Abstract::Group::ReturnType	getNormLastLinearSolveResidual (double &residual) const
	Return the norm of the last linear solve residual as the result of either a call to computeNewton() or applyJacobianInverse(). More...

Protected Member Functions
virtual void	resetIsValid ()
	resets the isValid flags to false

Protected Attributes
double	normRHS
	Norm of RHS.

SharedJacobian *	sharedJacobianPtr
	Pointer to shared Jacobian matrix.

SharedJacobian &	sharedJacobian
	Reference to shared Jacobian matrix.

std::string	jacType
	Specification of Jacobian Type.

Interface &	userInterface
	Reference to the user supplied interface functions.

Vectors
Vector	xVector
	Solution vector.

Vector	RHSVector
	Right-hand-side vector (function evaluation).

Vector	gradVector
	Gradient vector (steepest descent vector).

Vector	NewtonVector
	Newton direction vector.

IsValid flags
True if the current solution is up-to-date with respect to the currect xVector.
bool	isValidRHS

bool	isValidJacobian

bool	isValidGrad

bool	isValidNewton

bool	isValidPreconditioner

Additional Inherited Members
Public Types inherited from NOX::Abstract::Group
enum	ReturnType { Ok, NotDefined, BadDependency, NotConverged, Failed }
	The computation of, say, the Newton direction in computeNewton() may fail in many different ways, so we have included a variety of return codes to describe the failures. Of course, we also have a code for success. More...

Detailed Description

Concrete implementation of NOX::Abstract::Group for Petsc.

Member Function Documentation

Abstract::Group::ReturnType Group::applyRightPreconditioning	(	const Vector &	input,
		Vector &	result
	)		const

virtual

Preconditions a vector using one of the available methods in Petsc.

Currently, the preconditioning method corresponds to whatever is available in the user's Petsc installation and is specified in the local .petscrc file. For example, a direct solve can be accomplished by specifying -pc_type lu (serial only), whereas diagonal scaling can be achieved via -pc_type jacobi.

References NOX::Abstract::Group::BadDependency, NOX::Petsc::SharedJacobian::getJacobian(), NOX::Petsc::Vector::getPetscVector(), isJacobian(), NOX::Abstract::Group::Ok, sharedJacobian, and TEUCHOS_ASSERT.

Referenced by applyRightPreconditioning().

Teuchos::RCP< NOX::Abstract::Group > Group::clone ( CopyType type = DeepCopy ) const

virtual

Create a new Group of the same derived type as this one by cloning this one, and return a ref count pointer to the new group.

If type is NOX::DeepCopy, then we need to create an exact replica of "this". Otherwise, if type is NOX::ShapeCopy, we need only replicate the shape of "this" (only the memory is allocated, the values are not copied into the vectors and Jacobian). Returns NULL if clone is not supported.

Note: Any shared data should have its ownership transfered to this group from the source for a NOX::DeepCopy.

Implements NOX::Abstract::Group.

References Teuchos::rcp().

Abstract::Group::ReturnType Group::computeF ( )

virtual

Compute and store F(x).

Note: It's generally useful to also compute and store the 2-norm of F(x) at this point for later access by the getNormF() function.

Returns

NOX::Abstract::Group::Failed - If the computation fails in any way
NOX::Abstract::Group::Ok - Otherwise

Implements NOX::Abstract::Group.

References NOX::Petsc::Interface::computeF(), NOX::Petsc::Vector::getPetscVector(), isF(), NOX::Petsc::Vector::norm(), normRHS, NOX::Abstract::Group::Ok, RHSVector, userInterface, and xVector.

Abstract::Group::ReturnType Group::computeGradient ( )

virtual

Compute and store gradient.

We can pose the nonlinear equation problem $ F(x) = 0$ as an optimization problem as follows:

$\min f(x) \equiv \frac{1}{2} \|F(x)\|_2^2.$

In that case, the gradient (of $ f$ ) is defined as

$g \equiv J^T F.$

Returns

NOX::Abstract::Group::NotDefined - Returned by default implementation in NOX::Abstract::Group
NOX::Abstract::Group::BadDependency - If either or has not been computed
NOX::Abstract::Group::Failed - If the computation fails in any other way
NOX::Abstract::Group::Ok - Otherwise

Reimplemented from NOX::Abstract::Group.

References NOX::Petsc::SharedJacobian::getJacobian(), NOX::Petsc::Vector::getPetscVector(), gradVector, isF(), isGradient(), isJacobian(), NOX::Abstract::Group::Ok, RHSVector, sharedJacobian, and TEUCHOS_ASSERT.

Abstract::Group::ReturnType Group::computeJacobian ( )

virtual

Compute and store Jacobian.

Recall that

$F(x) = \left[ \begin{array}{c} F_1(x) \\ F_2(x) \\ \vdots \\ F_n(x) \\ \end{array} \right].$

The Jacobian is denoted by $ J$ and defined by

$J_{ij} = \frac{\partial F_i}{\partial x_j} (x).$

Note: If this is a shared object, this group should take ownership of the Jacobian before it computes it.

Returns

NOX::Abstract::Group::NotDefined - Returned by default implementation in NOX::Abstract::Group
NOX::Abstract::Group::Failed - If the computation fails in any other way
NOX::Abstract::Group::Ok - Otherwise

Reimplemented from NOX::Abstract::Group.

References NOX::Petsc::Interface::computeJacobian(), NOX::Petsc::SharedJacobian::getJacobian(), NOX::Petsc::Vector::getPetscVector(), isJacobian(), jacType, NOX::Abstract::Group::Ok, sharedJacobian, userInterface, and xVector.

Abstract::Group::ReturnType Group::computeNewton ( Teuchos::ParameterList & params )

virtual

Compute the Newton direction, using parameters for the linear solve.

The Newton direction is the solution, s, of

$J s = -F.$

The parameters are from the "Linear %Solver" sublist of the "Direction" sublist that is passed to solver during construction.

The "Tolerance" parameter may be added/modified in the sublist of "Linear Solver" parameters that is passed into this function. The solution should be such that

$\frac{\| J s - (-F) \|_2}{\max \{ 1, \|F\|_2\} } < \mbox{Tolerance}$

Returns

NOX::Abstract::Group::NotDefined - Returned by default implementation in NOX::Abstract::Group
NOX::Abstract::Group::BadDependency - If either or has not been computed
NOX::Abstract::Group::NotConverged - If the linear solve fails to satisfy the "Tolerance" specified in params
NOX::Abstract::Group::Failed - If the computation fails in any other way
NOX::Abstract::Group::Ok - Otherwise

Reimplemented from NOX::Abstract::Group.

References NOX::Petsc::SharedJacobian::getJacobian(), NOX::Petsc::Vector::getPetscVector(), isF(), isJacobian(), isNewton(), NewtonVector, NOX::Abstract::Group::Ok, RHSVector, NOX::Petsc::Vector::scale(), sharedJacobian, and TEUCHOS_ASSERT.

double Group::getNormF ( ) const

virtual

Return 2-norm of F(x).

In other words,

$\sqrt{\sum_{i=1}^n F_i^2}$

Implements NOX::Abstract::Group.

References isF(), and normRHS.

bool Group::isGradient ( ) const

virtual

Return true if the gradient is valid.

Note: Default implementation in NOX::Abstract::Group returns false.

Reimplemented from NOX::Abstract::Group.

Referenced by computeGradient(), getGradient(), and getGradientPtr().

bool Group::isJacobian ( ) const

virtual

Return true if the Jacobian is valid.

Note: Default implementation in NOX::Abstract::Group returns false.

Reimplemented from NOX::Abstract::Group.

References NOX::Petsc::SharedJacobian::isOwner(), and sharedJacobian.

Referenced by applyRightPreconditioning(), computeGradient(), computeJacobian(), and computeNewton().

bool Group::isNewton ( ) const

virtual

Return true if the Newton direction is valid.

Note: Default implementation in NOX::Abstract::Group returns false.

Reimplemented from NOX::Abstract::Group.

Referenced by computeNewton(), getNewton(), and getNewtonPtr().

Abstract::Group & Group::operator= ( const NOX::Abstract::Group & source )

virtual

Copies the source group into this group.

Note: Any shared data owned by the source should have its ownership transfered to this group. This may result in a secret modification to the source object.

Implements NOX::Abstract::Group.

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

NOX_Petsc_Group.H
NOX_Petsc_Group.C

Public Member Functions

Protected Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

Member Function Documentation