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// NOX: An Object-Oriented Nonlinear Solver Package
// Copyright (2002) Sandia Corporation
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#ifndef NOX_SOLVER_ANDERSON_ACCELERATION_H
#define NOX_SOLVER_ANDERSON_ACCELERATION_H
#include "NOX_Solver_Generic.H" // base class
#include "NOX_Solver_PrePostOperator.H" // class data element
#include "Teuchos_ParameterList.hpp" // class data element
#include "NOX_Utils.H" // class data element
#include "Teuchos_RCP.hpp" // class data element
#include "Teuchos_SerialDenseMatrix.hpp"
#include "Teuchos_SerialDenseVector.hpp"
// Forward declarations
namespace NOX {
class GlobalData;
namespace LineSearch {
class Generic;
}
}
namespace NOX {
namespace Solver {
/*!
\brief Nonlinear solver based on Anderson Acceleration
Solves \f$F(x)=0\f$ using Anderson Acceleration.
This method requires a mixing parameter \f$\beta\f$ and a preconditioner
\f$M(x)\f$. If preconditioning is not supported, it is taken to be the identity.
For the first iteration, the solver computes \f$x_1 = x_0 + \beta M(x_0)F(x_0)\f$.
Each iteration afterward, the solver does the following.
<ul>
<li> Set \f$m_k = \min\{m,k\}\f$, where \f$m\f$ is a parameter that determines the maximum number of iterates for
which we store iterate and function values in addition to the current iterate. \f$m_k\f$ represents the number
of previous iterates stored currently.
<li> Solve the least-squares problem: \f$\min_{\gamma}\|\sum_{i=0}^{m_k} \alpha_iM(x_{k-i})F(x_{k-i}) \|\f$,
such that \f$ \sum_{i=1}^{m_k} \alpha_i = 1 \f$. In this implementation, we solve an equivalent unconstrained
problem for which the QR factors are stored and updated.
<li> Calculate the new iterate: $x_{k+1} = \sum_{i=0}^{m_k} \alpha_i[x_{k-i} + \beta M(x_{k-i})F(x_{k-i})]$.
</ul>
The iterations progress until the status tests (see NOX::StatusTest) determine either
failure or convergence.
<B>Input Parameters</B>
The following parameter list entries are valid for this solver:
- "Anderson Parameters" - Sublist of parameters specific to AA
- "Line Search" - Sublist of the line search parameters, passed to
the NOX::LineSearch::Manager constructor. Defaults to an empty list.
- "Solver Options" - Sublist of general solver options.
<ul>
<li> "User Defined Pre/Post Operator" is supported. See NOX::Parameter::PrePostOperator for more details.
</ul>
<B>Output Parameters</B>
Every time solve() is called, a sublist for output parameters called
"Output" will be created and contain the following parameters.
"Output":
- "Nonlinear Iterations" - Number of nonlinear iterations
- "2-Norm of Residual" - Two-norm of final residual
\author Alex Toth and Roger Pawlowski
*/
class AndersonAcceleration : public Generic {
public:
//! Constructor
/*!
See reset(NOX::Abstract::Group&, NOX::StatusTest::Generic&, Teuchos::ParameterList&) for description
*/
AndersonAcceleration(const Teuchos::RCP<NOX::Abstract::Group>& grp,
const Teuchos::RCP<NOX::StatusTest::Generic>& tests,
const Teuchos::RCP<Teuchos::ParameterList>& params);
//! Destructor
virtual ~AndersonAcceleration();
virtual void reset(const NOX::Abstract::Vector& initialGuess,
const Teuchos::RCP<NOX::StatusTest::Generic>& tests);
virtual void reset(const NOX::Abstract::Vector& initialGuess);
virtual NOX::StatusTest::StatusType getStatus();
virtual NOX::StatusTest::StatusType step();
virtual NOX::StatusTest::StatusType solve();
virtual const NOX::Abstract::Group& getSolutionGroup() const;
virtual const NOX::Abstract::Group& getPreviousSolutionGroup() const;
virtual int getNumIterations() const;
virtual const Teuchos::ParameterList& getList() const;
virtual double getStepSize() const;
inline virtual Teuchos::RCP< const NOX::Abstract::Group > getSolutionGroupPtr() const {return solnPtr;};
inline virtual Teuchos::RCP< const NOX::Abstract::Group > getPreviousSolutionGroupPtr() const {return oldSolnPtr;};
inline virtual Teuchos::RCP< const Teuchos::ParameterList > getListPtr() const {return paramsPtr;};
protected:
//! Print out initialization information and calcuation the RHS.
virtual void init();
//! Prints the current iteration information.
virtual void printUpdate();
//! Updates QR factors by addition of a column
void qrAdd(NOX::Abstract::Vector& newCol);
//! Updates QR factors by deletion of a column
void qrDelete();
//! Reorthogonalized columns of Q and updates factorization
void reorthogonalize();
protected:
//! Pointer to the global data object.
Teuchos::RCP<NOX::GlobalData> globalDataPtr;
//! Utils
Teuchos::RCP<NOX::Utils> utilsPtr;
//! Current solution.
Teuchos::RCP<NOX::Abstract::Group> solnPtr;
//! Previous solution pointer.
Teuchos::RCP<NOX::Abstract::Group> oldSolnPtr;
//! Stopping test.
Teuchos::RCP<NOX::StatusTest::Generic> testPtr;
//! Input parameters.
Teuchos::RCP<Teuchos::ParameterList> paramsPtr;
//! Linesearch.
Teuchos::RCP<NOX::LineSearch::Generic> lineSearchPtr;
//! Flag for preconditioning
bool precond;
//! Flag to recompute Jacobian each iterate. Needed if Jacobian required to apply preconditioner.
bool recomputeJacobian;
//! Vector for temporary storage
Teuchos::RCP<NOX::Abstract::Vector> workVec;
//! Current preconditioned function value
Teuchos::RCP<NOX::Abstract::Vector> precF;
//! Previous preconditioned function value
Teuchos::RCP<NOX::Abstract::Vector> oldPrecF;
//! Maximum storage depth
int storeParam;
//! Current storage depth
int nStore;
//! Mixing parameter
double mixParam;
//! Current step.
double stepSize;
//! "Matrix" of successive iterate differences
std::vector< Teuchos::RCP<NOX::Abstract::Vector> > xMat;
//! Q factor the for least-squares problem
std::vector< Teuchos::RCP<NOX::Abstract::Vector> > qMat;
//! R factor for the least-squares problem
Teuchos::SerialDenseMatrix<int,double> rMat;
//! Number of nonlinear iterations.
int nIter;
//! Frequency for reorthogonalization of QR factors. If nonpositive, we never reorthogonalize
int orthoFrequency;
//! %Status of nonlinear solver.
NOX::StatusTest::StatusType status;
//! Type of check to use for status tests. See NOX::StatusTest for more details.
NOX::StatusTest::CheckType checkType;
//! Pointer to a user defined NOX::Abstract::PrePostOperator object.
NOX::Solver::PrePostOperator prePostOperator;
//! Scratch space for condition number estimation using LAPACK.
std::vector<double> WORK;
//! Scratch space for condition number estimation using LAPACK.
std::vector<int> IWORK;
//! If true, the QR matrix will be resized if the condiiton number is greater than the dropTolerance.
bool adjustForConditionNumber;
//! Value of the condition number above which the QR matrix is resized.
double dropTolerance;
//! The nonlinear iteration where Anderson Acceleration will start.
int accelerationStartIteration;
//! Disables the storage depth size check - used for unit testing corner cases only.
bool disableChecksForUnitTesting;
};
} // namespace Solver
} // namespace NOX
#endif
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