/usr/include/ITK-4.5/itkFEMLinearSystemWrapperItpack.h is in libinsighttoolkit4-dev 4.5.0-3.
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*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef __itkFEMLinearSystemWrapperItpack_h
#define __itkFEMLinearSystemWrapperItpack_h
#include "itkFEMSolution.h"
#include "itkFEMLinearSystemWrapper.h"
#include "itkFEMItpackSparseMatrix.h"
#include <vector>
/** Array of pointers to available solver functions */
/** typedefs from f2c.h */
typedef long integer;
typedef double doublereal;
extern "C" {
typedef
int ( *ItkItpackSolverFunction )(integer *, integer *, integer *, doublereal *, doublereal *, doublereal *, integer *,
integer *, doublereal *,
integer *, doublereal *, integer *);
}
namespace itk
{
namespace fem
{
/**
* \class LinearSystemWrapperItpack
* \brief LinearSystemWrapper class that uses Itpack numeric library functions
* to define and solve a sparse linear system of equations
* \sa LinearSystemWrapper
* \ingroup ITKFEM
*/
class LinearSystemWrapperItpack : public LinearSystemWrapper
{
public:
/** Standard "Self" typedef. */
typedef LinearSystemWrapperItpack Self;
/** Standard "Superclass" typedef. */
typedef LinearSystemWrapper Superclass;
/** matrix representatin typedef */
typedef ItpackSparseMatrix MatrixRepresentation;
/** vector of matrices typedef */
typedef std::vector<MatrixRepresentation> MatrixHolder;
/* auto pointer to vector of matrices typedef */
/* typedef std::auto_ptr<MatrixHolder> MatrixArrayPtr; */
/** vector representation typedef */
/* typedef std::auto_ptr<double> VectorRepresentation; */
typedef double *VectorRepresentation;
/** vector of vector typedef */
typedef std::vector<VectorRepresentation> VectorHolder;
/* auto pointer to vector of vectors typedef */
/* typedef std::auto_ptr<VectorHolder> VectorArrayPtr; */
/* pointer to array of unsigned int typedef */
/* typedef std::auto_ptr<unsigned int> UnsignedIntegerArrayPtr; */
/* -----------------------------------------------------------------
*
* Routines for setting/reporting itpack parameters
*
* -----------------------------------------------------------------
*/
/**
* Set the maximum number of iterations
* \param i maximum number of iterations that may be performed
*/
void SetMaximumNumberIterations(int i)
{
m_IPARM[0] = i;
}
/**
* Get the maximum number iterations that may be performed
*/
int GetMaximumNumberIterations() const
{
return m_IPARM[0];
}
// void SetErrorReportingLevel(int i) { m_IPARM[1] = i; }
/**
* Get a flag indicating the type of error reporting
*/
int GetErrorReportingLevel() const
{
return m_IPARM[1];
}
/**
* Set the communication switch - meaningless in this implementation
* \param i flag value
*/
void SetCommunicationSwitch(int i)
{
m_IPARM[2] = i;
}
/**
* Get the communication flag - meaningless in this implementation
*/
int GetCommunicationSwitch() const
{
return m_IPARM[2];
}
// void SetOutputNumber(int i) { m_IPARM[3] = i; }
/**
* Get the output number - meaningless in this implementation
*/
int GetOutputNumber() const
{
return m_IPARM[3];
}
/**
* Set flag indicating symmetric matrix is being used
* \param i 1=symmetric, 0=non-symmetric
*/
void SetSymmetricMatrixFlag(int i)
{
m_IPARM[4] = i;
}
/**
* Get flag indicating use of symmetric matrix (1=symmetric, 0=non-symmetric)
*/
int GetSymmetricMatrixFlag()
{
return m_IPARM[4];
}
/**
* Set flag for ???
* \param i ??
*/
void SetAdaptiveSwitch(int i)
{
m_IPARM[5] = i;
}
/**
* Get flag indicating ??
*/
int GetAdaptiveSwitch() const
{
return m_IPARM[5];
}
/**
* Set flag for ??
* \param i ??
*/
void SetAdaptiveCaseSwitch(int i)
{
m_IPARM[6] = i;
}
/**
* Get flag indicating ??
*/
int GetAdaptiveCaseSwitch() const
{
return m_IPARM[6];
}
/**
* Set size of workspace used by solver
* \param i size of the workspace vector
* \note this value is set by default
*/
void SetWorkspaceUsed(int i)
{
m_IPARM[7] = i;
}
/**
* Get the size of the workspace used by solver
* \note after solver is called this is the amount of workspace actually used
*/
int GetWorkspaceUsed()
{
return m_IPARM[7];
}
/**
* Set flag indicating use of red black ordering
* \param i 1=red black ordering used, 0=not
*/
void SetRedBlackOrderingSwitch(int i)
{
m_IPARM[8] = i;
}
/**
* Get the flag indicating use of red black ordering
*/
int GetRedBlackOrderingSwitch()
{
return m_IPARM[8];
}
/**
* Set flag indicating ??
* \param i ??
*/
void SetRemoveSwitch(int i)
{
m_IPARM[9] = i;
}
/**
* Get flag indicating ??
*/
int GetRemoveSwitch()
{
return m_IPARM[9];
}
/**
* Set the flag indicating use of timer routines - meaningless in this implementation
* \param i flag
*/
void SetTimingSwitch(int i)
{
m_IPARM[10] = i;
}
/**
* Get the flag indicating use of the timer routines - meaningless in this implementation
*/
int GetTimingSwitch()
{
return m_IPARM[10];
}
/**
* Set the flag for level of error reporting - meaningless in this implementation
* \param i flag for level of error analysis
*/
void SetErrorAnalysisSwitch(int i)
{
m_IPARM[11] = i;
}
/**
* Get the flag for level of error reporting - meaningless in this implementation
*/
int GetErrorAnalysisSwitch() const
{
return m_IPARM[11];
}
/**
* Set the level of accuracy for an acceptable solution
* \param i accuracy desired
*/
void SetAccuracy(double i)
{
m_RPARM[0] = i;
}
/**
* Get the level of accuracy
*/
double GetAccuracy() const
{
return m_RPARM[0];
}
/**
* Set ??
* \param i larges jacobian eigenvalue estimate
*/
void SetLargestJacobiEigenvalueEstimate(double i)
{
m_RPARM[1] = i;
}
/**
* Get ??
*/
double GetLargestJacobiEigenvalueEstimate() const
{
return m_RPARM[1];
}
/**
* Set ??
* \param i smalles jacobian eigenvalue estimate
*/
void SetSmallestJacobiEigenvalueEstimate(double i)
{
m_RPARM[2] = i;
}
/**
* Get ??
*/
double GetSmallestJacobiEigenvalueEstimate()
{
return m_RPARM[2];
}
/**
* Set the damping factor used by ??
* \param i damping factor
*/
void SetDampingFactor(double i)
{
m_RPARM[3] = i;
}
/**
* Get the damping factor used by ??
*/
double GetDampingFactor() const
{
return m_RPARM[3];
}
/**
* Set the over-relaxation parameter ??
* \param i parameter
*/
void SetOverrelaxationParameter(double i)
{
m_RPARM[4] = i;
}
/**
* Get the over-relaxation parameter ??
*/
double GetOverrelaxationParameter()
{
return m_RPARM[4];
}
/**
* Set the ??
* \param i ??
*/
void SetEstimatedSpectralRadiusSSOR(double i)
{
m_RPARM[5] = i;
}
/**
* Get the ??
*/
double GetEstimatedSpectralRadiusSSOR() const
{
return m_RPARM[5];
}
/**
* Set the ??
* \param i ??
*/
void SetEstimatedSpectralRadiusLU(double i)
{
m_RPARM[6] = i;
}
/**
* Get the ??
*/
double GetEstimatedSpectralRadiusLU() const
{
return m_RPARM[6];
}
/**
* Set the tolerance level
* \param i tolerance
*/
void SetTolerance(double i)
{
m_RPARM[7] = i;
}
/**
* Get the tolerance level
*/
double GetTolerance()
{
return m_RPARM[7];
}
/**
* Set the time to convergence
* \param i ??
*/
void SetTimeToConvergence(double i)
{
m_RPARM[8] = i;
}
/**
* Get the time to convergence
*/
double GetTimeToConvergence()
{
return m_RPARM[8];
}
/**
* Set the time for call
* \param i ??
*/
void SetTimeForCall(double i)
{
m_RPARM[9] = i;
}
/**
* Get the time for call
*/
double GetTimeForCall()
{
return m_RPARM[9];
}
/**
* Set digits in error
* \param i number of digits in error
*/
void SetDigitsInError(double i)
{
m_RPARM[10] = i;
}
/**
* Get the number of digits in the error
*/
double GetDigitsInError() const
{
return m_RPARM[10];
}
/**
* Set the number of digits in the residual
* \param i number of digits in the residual
*/
void SetDigitsInResidual(double i)
{
m_RPARM[11] = i;
}
/**
* Get the number of digits in the residual
*/
double GetDigitsInResidual() const
{
return m_RPARM[11];
}
/**
* Set numerical solving method to jacobian conjugate gradient
*/
void JacobianConjugateGradient()
{
m_Method = 0;
}
/**
* Set numerical solving method to jacobian semi iterative
*/
void JacobianSemiIterative()
{
m_Method = 1;
}
/**
* Set numerical solving method to successive over-relaxation
*/
void SuccessiveOverrelaxation()
{
m_Method = 2;
}
/**
* Set numerical solving method to symmetric successive over-relaxation
* conjugate gradient
*/
void SymmetricSuccessiveOverrelaxationConjugateGradient()
{
m_Method = 3;
}
/**
* Set numerical solving method to symmetric successive over-relaxation
* successive over-relaxation
*/
void SymmetricSuccessiveOverrelaxationSuccessiveOverrelaxation()
{
m_Method = 4;
}
/**
* Set numerical solving method to reduced system conjugate gradient
*/
void ReducedSystemConjugateGradient()
{
m_Method = 5;
}
/**
* Set numerical solving method to reduced system semi-iteration */
void ReducedSystemSemiIteration()
{
m_Method = 6;
}
/** -----------------------------------------------------------------
*
* Redefine methods defined in LinearSystemWrapper
*
* -----------------------------------------------------------------
*/
/**
* set maximum number of entires in a matrix
* \param maxNonZeroValues maximum number of entries allowed in matrix
* \note this must be called before any matrices are initialized
*/
virtual void SetMaximumNonZeroValuesInMatrix(unsigned int maxNonZeroValues)
{
m_MaximumNonZeroValues =
maxNonZeroValues;
}
void ScaleMatrix(Float scale, unsigned int matrixIndex);
/** -----------------------------------------------------------------
*
* Functions required by LinearSystemWrapper
*
* -----------------------------------------------------------------
*/
/**
* constructor
*/
LinearSystemWrapperItpack();
/**
* destructor
*/
~LinearSystemWrapperItpack();
/* memory management routines */
virtual void InitializeMatrix(unsigned int matrixIndex);
virtual bool IsMatrixInitialized(unsigned int matrixIndex);
virtual void DestroyMatrix(unsigned int matrixIndex);
virtual void InitializeVector(unsigned int vectorIndex);
virtual bool IsVectorInitialized(unsigned int vectorIndex);
virtual void DestroyVector(unsigned int vectorIndex);
virtual void InitializeSolution(unsigned int solutionIndex);
virtual bool IsSolutionInitialized(unsigned int solutionIndex);
virtual void DestroySolution(unsigned int solutionIndex);
/* assembly & solving routines */
virtual Float GetMatrixValue(unsigned int i, unsigned int j, unsigned int matrixIndex) const;
virtual void SetMatrixValue(unsigned int i, unsigned int j, Float value, unsigned int matrixIndex);
virtual void AddMatrixValue(unsigned int i, unsigned int j, Float value, unsigned int matrixIndex);
virtual void GetColumnsOfNonZeroMatrixElementsInRow(unsigned int row, ColumnArray & cols, unsigned int matrixIndex);
virtual Float GetVectorValue(unsigned int i, unsigned int vectorIndex) const;
virtual void SetVectorValue(unsigned int i, Float value, unsigned int vectorIndex);
virtual void AddVectorValue(unsigned int i, Float value, unsigned int vectorIndex);
virtual Float GetSolutionValue(unsigned int i, unsigned int solutionIndex) const;
virtual void SetSolutionValue(unsigned int i, Float value, unsigned int solutionIndex);
virtual void AddSolutionValue(unsigned int i, Float value, unsigned int solutionIndex);
virtual void Solve(void);
/* matrix & vector manipulation routines */
virtual void SwapMatrices(unsigned int matrixIndex1, unsigned int matrixIndex2);
virtual void SwapVectors(unsigned int vectorIndex1, unsigned int vectorIndex2);
virtual void SwapSolutions(unsigned int solutionIndex1, unsigned int solutionIndex2);
virtual void CopySolution2Vector(unsigned solutionIndex, unsigned int vectorIndex);
virtual void CopyVector2Solution(unsigned int vectorIndex, unsigned int solutionIndex);
virtual void MultiplyMatrixMatrix(unsigned int resultMatrixIndex, unsigned int leftMatrixIndex,
unsigned int rightMatrixIndex);
virtual void MultiplyMatrixVector(unsigned int resultVectorIndex, unsigned int matrixIndex, unsigned int vectorIndex);
/**
* Perform a matrix*solution operation and store the result in the linear system
* \param matrixIndex index of matrix to multiply
* \param solutionIndex index of solution to multiply
* \param resultVectorIndex index of vector where result is store
*/
virtual void MultiplyMatrixSolution(unsigned int resultVectorIndex, unsigned int matrixIndex, unsigned int solutionIndex);
private:
/** pointer to vector of matrices */
MatrixHolder *m_Matrices;
/** pointer to vector of force arrays */
VectorHolder *m_Vectors;
/** pointer to vector of solution arrays */
VectorHolder *m_Solutions;
/** pointer to array of unsigned int's indicating max number of entries in
each matrix */
// UnsignedIntegerArrayPtr m_MaximumNonZeroValues;
unsigned int m_MaximumNonZeroValues;
/** Array of pointers to available solver functions */
ItkItpackSolverFunction m_Methods[7];
/** flag indicating which solver function should be used */
integer m_Method;
/** vector of length 12 used to initialize various parameters on input */
integer m_IPARM[12];
/** vector of length 12 used to initialize various parameters on input */
doublereal m_RPARM[12];
};
/**
* \class FEMExceptionItpackSolver
* \brief handles errors that occur in itpack solving routines
* \sa LinearSystemWrapperItpack
* \sa FEMException
* \ingroup ITKFEM
*/
class ITK_ABI_EXPORT FEMExceptionItpackSolver : public FEMException
{
public:
/** typedefs from f2c.h */
typedef long integer;
/**
* Constructor. In order to construct this exception object, four parameters
* must be provided: file, lineNumber, location and a detailed description
* of the exception.
*/
FEMExceptionItpackSolver(const char *file, unsigned int lineNumber, std::string location, integer errorCode);
/** Virtual destructor needed for subclasses. Has to have empty throw(). */
virtual ~FEMExceptionItpackSolver()
throw ( )
{
}
/** Type related information. */
itkTypeMacro(FEMExceptionItpackSolver, FEMException);
};
}
} // end namespace itk::fem
#endif // #ifndef __itkFEMLinearSystemWrapperItpack_h
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